repodata_packages
406,080 rows
This data as json, CSV (advanced)
Link | repodata_id | package | index_json | timestamp |
---|---|---|---|---|
1,_anaconda_depends-2023.06-py39_4.conda | 1 1 | _anaconda_depends-2023.06-py39_4.conda | { "build": "py39_4", "build_number": 4, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "06878738c71d8d09e79d2c6e5714877f", "name": "_anaconda_depends", "sha256": "a8e72540fc01e77a4bc3de176a7a483f88ea4b6f1ea5bd36ae0e3568e0d45aed", "size": 67661, "subdir": "linux-64", "timestamp": 1687458189965, "version": "2023.06" } |
2023-07-20 19:01:16 |
1,_anaconda_depends-2023.06-py39_4.tar.bz2 | 1 1 | _anaconda_depends-2023.06-py39_4.tar.bz2 | { "build": "py39_4", "build_number": 4, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "26994f9502f40dd3f487c9d61b2e5990", "name": "_anaconda_depends", "sha256": "3220ceb8d2259365a505efa5a3373cec6ba65a97fb8b00b52b2fca3a0ebd2196", "size": 53837, "subdir": "linux-64", "timestamp": 1687458189965, "version": "2023.06" } |
2023-07-20 19:01:16 |
1,_anaconda_depends-2023.07-py310_0.conda | 1 1 | _anaconda_depends-2023.07-py310_0.conda | { "build": "py310_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "c2f2bfd5b6329700e853bc4f2375cc83", "name": "_anaconda_depends", "sha256": "26bfefc61575e5755f182d8d21d27c10d21450f7e13a05b96f37b9d0538caca3", "size": 67685, "subdir": "linux-64", "timestamp": 1688049332763, "version": "2023.07" } |
2023-07-20 19:01:16 |
1,_anaconda_depends-2023.07-py310_0.tar.bz2 | 1 1 | _anaconda_depends-2023.07-py310_0.tar.bz2 | { "build": "py310_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "2a0a72d44c1161b9ffb9fc36db5323b7", "name": "_anaconda_depends", "sha256": "ee1619d8b77ff1c1fabe9fb047257e3ca9a10cc6805e10ee69006806a8365087", "size": 53892, "subdir": "linux-64", "timestamp": 1688049332763, "version": "2023.07" } |
2023-07-20 19:01:16 |
1,_anaconda_depends-2023.07-py310_1.conda | 1 1 | _anaconda_depends-2023.07-py310_1.conda | { "build": "py310_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "cdfe5c11e1a352fc991f77aadfc5c973", "name": "_anaconda_depends", "sha256": "b001060d27504a9932b5eec1a4655ad462e01b9b7435f87939ab9fc3d88c51fe", "size": 67666, "subdir": "linux-64", "timestamp": 1691096817283, "version": "2023.07" } |
2023-08-31 17:07:07 |
1,_anaconda_depends-2023.07-py310_1.tar.bz2 | 1 1 | _anaconda_depends-2023.07-py310_1.tar.bz2 | { "build": "py310_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "ba54fd8870f8d392a73a1d41b4f552a3", "name": "_anaconda_depends", "sha256": "b3413f4e7af6716db46180c319fa92b3ae04fca7cfbb2ffeb2df4159612cd491", "size": 53863, "subdir": "linux-64", "timestamp": 1691096817283, "version": "2023.07" } |
2023-08-31 17:07:07 |
1,_anaconda_depends-2023.07-py311_0.conda | 1 1 | _anaconda_depends-2023.07-py311_0.conda | { "build": "py311_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "72637d8be33517cb0e5b5a883d89486c", "name": "_anaconda_depends", "sha256": "e8e64f64abbbc34bd74c336181f73f363e97f0f99a763157c46cf2d2c6b6703f", "size": 67691, "subdir": "linux-64", "timestamp": 1688049325899, "version": "2023.07" } |
2023-07-20 19:01:16 |
1,_anaconda_depends-2023.07-py311_0.tar.bz2 | 1 1 | _anaconda_depends-2023.07-py311_0.tar.bz2 | { "build": "py311_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "a40db52003f972218507acd5148da914", "name": "_anaconda_depends", "sha256": "3182504bd1c2cc04da9772fc406af102114bb29280a86bd5ae2c6c7926b020cd", "size": 53883, "subdir": "linux-64", "timestamp": 1688049325899, "version": "2023.07" } |
2023-07-20 19:01:16 |
1,_anaconda_depends-2023.07-py311_1.conda | 1 1 | _anaconda_depends-2023.07-py311_1.conda | { "build": "py311_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "1cf02dc9d88aa6c749db245682395856", "name": "_anaconda_depends", "sha256": "a6a5597a87706a884bf229760b635fd5826f93d5f611f7f6d63097fff1d0b1af", "size": 67669, "subdir": "linux-64", "timestamp": 1691096823767, "version": "2023.07" } |
2023-08-31 17:07:07 |
1,_anaconda_depends-2023.07-py311_1.tar.bz2 | 1 1 | _anaconda_depends-2023.07-py311_1.tar.bz2 | { "build": "py311_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "ff003ab59316e803f2bfb39cb4e6e250", "name": "_anaconda_depends", "sha256": "6dfa944dabfb5ef20c11bdcfc0772114e8e51e45e88138679e760aef42d21144", "size": 53879, "subdir": "linux-64", "timestamp": 1691096823767, "version": "2023.07" } |
2023-08-31 17:07:07 |
1,_anaconda_depends-2023.07-py38_0.conda | 1 1 | _anaconda_depends-2023.07-py38_0.conda | { "build": "py38_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "6cd14ac245d15b89425030d608aea47e", "name": "_anaconda_depends", "sha256": "aa9ec871871a55e4b61c322e2246e189c435d8755edbb31685e35096649c4ccb", "size": 67656, "subdir": "linux-64", "timestamp": 1688049345137, "version": "2023.07" } |
2023-07-20 19:01:16 |
1,_anaconda_depends-2023.07-py38_0.tar.bz2 | 1 1 | _anaconda_depends-2023.07-py38_0.tar.bz2 | { "build": "py38_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "bac29eabd18e20305657591f0b32b778", "name": "_anaconda_depends", "sha256": "2b6b4384f8c48acfe6a3251d385a45980366d2ba3aaffab59a4df163f194b3e0", "size": 53881, "subdir": "linux-64", "timestamp": 1688049345137, "version": "2023.07" } |
2023-07-20 19:01:16 |
1,_anaconda_depends-2023.07-py38_1.conda | 1 1 | _anaconda_depends-2023.07-py38_1.conda | { "build": "py38_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "ae7f0535742c414e5dbab6761c5a1fec", "name": "_anaconda_depends", "sha256": "c08d57ac03de4c8301e389851662ebaf6d53df621fbf794cb1ee671fbc89574d", "size": 67636, "subdir": "linux-64", "timestamp": 1691096829869, "version": "2023.07" } |
2023-08-31 17:07:07 |
1,_anaconda_depends-2023.07-py38_1.tar.bz2 | 1 1 | _anaconda_depends-2023.07-py38_1.tar.bz2 | { "build": "py38_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "daec3428dc0b3eeecc9de42abab90f5e", "name": "_anaconda_depends", "sha256": "29bf8e60dec96cfeaa9b2485239810e169dcdb422b5796ea5e411b76439e2307", "size": 53859, "subdir": "linux-64", "timestamp": 1691096829869, "version": "2023.07" } |
2023-08-31 17:07:07 |
1,_anaconda_depends-2023.07-py39_0.conda | 1 1 | _anaconda_depends-2023.07-py39_0.conda | { "build": "py39_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "ea4c178f1ce84eff0bb289aea5995b25", "name": "_anaconda_depends", "sha256": "54d94d832caf6a9c6cf042d4c5e6c86143f14ea180e6a1d4fb186ff94e266829", "size": 67659, "subdir": "linux-64", "timestamp": 1688049338994, "version": "2023.07" } |
2023-07-20 19:01:16 |
1,_anaconda_depends-2023.07-py39_0.tar.bz2 | 1 1 | _anaconda_depends-2023.07-py39_0.tar.bz2 | { "build": "py39_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "e84d7b2d7b4aecdd383c055403536fa2", "name": "_anaconda_depends", "sha256": "3d41af53b91d282a8cb4ecb6777cf1b3c94cf2cbb4bbabb977db596292e9a090", "size": 53872, "subdir": "linux-64", "timestamp": 1688049338994, "version": "2023.07" } |
2023-07-20 19:01:16 |
1,_anaconda_depends-2023.07-py39_1.conda | 1 1 | _anaconda_depends-2023.07-py39_1.conda | { "build": "py39_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "b7c05e1080aac51970033fbeb6cd09e1", "name": "_anaconda_depends", "sha256": "b4220617aa0114b27c140a20b316b21a0478bc7aa76fefde9430c373e2cb587e", "size": 67638, "subdir": "linux-64", "timestamp": 1691096811013, "version": "2023.07" } |
2023-08-31 17:07:07 |
1,_anaconda_depends-2023.07-py39_1.tar.bz2 | 1 1 | _anaconda_depends-2023.07-py39_1.tar.bz2 | { "build": "py39_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "034e72d82bb2f55802911c6751856604", "name": "_anaconda_depends", "sha256": "d9605d16b68329cd992b738bb6b62b62adad3d6b1e4d286b67d60e421ab86d87", "size": 53853, "subdir": "linux-64", "timestamp": 1691096811013, "version": "2023.07" } |
2023-08-31 17:07:07 |
1,_anaconda_depends-2023.09-py310_mkl_0.conda | 1 1 | _anaconda_depends-2023.09-py310_mkl_0.conda | { "build": "py310_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "797aa9e78063134f18de0aeb6bb455c3", "name": "_anaconda_depends", "sha256": "96254c141058920af06fd2b3ad6f12fc42ca8750d9cd61adecd0c0ecf8c87a44", "size": 68036, "subdir": "linux-64", "timestamp": 1694616399517, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py310_mkl_0.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py310_mkl_0.tar.bz2 | { "build": "py310_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "a66768c028f521afa161fc5bd1ebe57e", "name": "_anaconda_depends", "sha256": "2727cf8e9ce4e6b314c8d1ea5fe0a1859dae3a6468db2f7a60cc89a561a0d3e1", "size": 54272, "subdir": "linux-64", "timestamp": 1694616399517, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py310_mkl_1.conda | 1 1 | _anaconda_depends-2023.09-py310_mkl_1.conda | { "build": "py310_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "f358bc898465242c21301b74d4935ae1", "name": "_anaconda_depends", "sha256": "a6bf52a672d0dd62f46d15b53180ee9411d118f876ccc7a11674f5989c7b04fb", "size": 68011, "subdir": "linux-64", "timestamp": 1695232653222, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py310_mkl_1.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py310_mkl_1.tar.bz2 | { "build": "py310_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "d632d820e4f34da002940543115dc83c", "name": "_anaconda_depends", "sha256": "e3ef9087802adac8dc5145a1ccfd7bd23ac081844f95382557d22d20e66e3eef", "size": 54176, "subdir": "linux-64", "timestamp": 1695232653222, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py310_openblas_0.conda | 1 1 | _anaconda_depends-2023.09-py310_openblas_0.conda | { "build": "py310_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "a35c52b4021a7eb0ce78bbdc52657804", "name": "_anaconda_depends", "sha256": "1966630e14952c78b80f7ae2e6b41ea7f7beb18172352052a22e08804c6bc8bf", "size": 68002, "subdir": "linux-64", "timestamp": 1694616412365, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py310_openblas_0.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py310_openblas_0.tar.bz2 | { "build": "py310_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "44f4904028586c23db6813a6cbbe5626", "name": "_anaconda_depends", "sha256": "59c9d0a764cea6c4161cbdb3b3f5385c2c8b9fd49d86f0117749c82760f1ae01", "size": 54202, "subdir": "linux-64", "timestamp": 1694616412365, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py310_openblas_1.conda | 1 1 | _anaconda_depends-2023.09-py310_openblas_1.conda | { "build": "py310_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "90cb4d62a928b5e24550353a0423771f", "name": "_anaconda_depends", "sha256": "1256ea4e71118de51fb59ebf71afe070082b1aafb8eb364156a369339b335e89", "size": 67996, "subdir": "linux-64", "timestamp": 1695232684306, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py310_openblas_1.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py310_openblas_1.tar.bz2 | { "build": "py310_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "970674e13e577e6553f5b205baa741fc", "name": "_anaconda_depends", "sha256": "49701f7c18559b7ece0f50cadf296e403d7980d82b0c36cd02bca124553a557c", "size": 54195, "subdir": "linux-64", "timestamp": 1695232684306, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py311_mkl_0.conda | 1 1 | _anaconda_depends-2023.09-py311_mkl_0.conda | { "build": "py311_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "0bae85735da324ae7214e7a7d4fd85fa", "name": "_anaconda_depends", "sha256": "b01fa05b96fabdc521e7359361a34e3517d7ea7bcd55ffdee42b0c2dd13a45bf", "size": 68024, "subdir": "linux-64", "timestamp": 1694616393024, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py311_mkl_0.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py311_mkl_0.tar.bz2 | { "build": "py311_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "a3ecbe9764e719459a1d2f38176a8e4e", "name": "_anaconda_depends", "sha256": "3e827c60c9fe3997ccf1634f60c7158ef565e5b63604e2decf5f28b17e65a3d9", "size": 54207, "subdir": "linux-64", "timestamp": 1694616393024, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py311_mkl_1.conda | 1 1 | _anaconda_depends-2023.09-py311_mkl_1.conda | { "build": "py311_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "b07b425c645a287f1b40e607dff1893f", "name": "_anaconda_depends", "sha256": "05c5ce6357a57ec364495ef39ba9b49f6a01368071e03cd9d6d5452371b50b44", "size": 68023, "subdir": "linux-64", "timestamp": 1695232659780, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py311_mkl_1.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py311_mkl_1.tar.bz2 | { "build": "py311_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "37d532c068e48ffab9a7f27cb0e33e02", "name": "_anaconda_depends", "sha256": "3976339d22950f7a93d233aa76a7135a2fc7b9a55af72faa0f01618662fb1c83", "size": 54244, "subdir": "linux-64", "timestamp": 1695232659780, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py311_openblas_0.conda | 1 1 | _anaconda_depends-2023.09-py311_openblas_0.conda | { "build": "py311_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "6594f2e845e8847dc1abc3e2ec5e41a0", "name": "_anaconda_depends", "sha256": "aa8a143e86eeda52c2d6c6cf3f10bdcb83aa35604f49e915434e9ab929035a2a", "size": 68019, "subdir": "linux-64", "timestamp": 1694616419001, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py311_openblas_0.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py311_openblas_0.tar.bz2 | { "build": "py311_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "30f9d9b7b67c2fb4980c642fd4d3e90f", "name": "_anaconda_depends", "sha256": "0778920f5b5d075e7333f642722bf007643c5052f091050a6c272d2cc18398a2", "size": 54215, "subdir": "linux-64", "timestamp": 1694616419001, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py311_openblas_1.conda | 1 1 | _anaconda_depends-2023.09-py311_openblas_1.conda | { "build": "py311_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "57a7fc0ecd8a66ba4fa878efd8e6cd35", "name": "_anaconda_depends", "sha256": "1932301fc94cbe254985a5d317f8fcb7ac66bcd56475c6cdbb1c00b0be843263", "size": 67983, "subdir": "linux-64", "timestamp": 1695232646826, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py311_openblas_1.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py311_openblas_1.tar.bz2 | { "build": "py311_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "0d150c32a57db26784b10baed025c078", "name": "_anaconda_depends", "sha256": "8b2aa55ee41f88872737c6b819d4a1a80355a9ee655e4533c9af4087cb9a6119", "size": 54211, "subdir": "linux-64", "timestamp": 1695232646826, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py38_mkl_0.conda | 1 1 | _anaconda_depends-2023.09-py38_mkl_0.conda | { "build": "py38_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "aa99fa8361b3a287fe0457e60b5ac10d", "name": "_anaconda_depends", "sha256": "3d5aeda61bbbe0f2b53538d12c70e9c35852601884a9036713ea898097561b17", "size": 68010, "subdir": "linux-64", "timestamp": 1694616386014, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py38_mkl_0.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py38_mkl_0.tar.bz2 | { "build": "py38_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "f4d69ceca9378b922fed9d02a133f6dc", "name": "_anaconda_depends", "sha256": "9549e540783b32449e0379ef2f348b2e2aca6b5b380943cab8dda756153bcebd", "size": 54213, "subdir": "linux-64", "timestamp": 1694616386014, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py38_mkl_1.conda | 1 1 | _anaconda_depends-2023.09-py38_mkl_1.conda | { "build": "py38_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "922cff1d047ee91aad5e89706c386826", "name": "_anaconda_depends", "sha256": "da837ecb9a237b15ec068dc5bbdcfc2b08a74b9109c64f2466c10bf2f7bfb548", "size": 67994, "subdir": "linux-64", "timestamp": 1695232639947, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py38_mkl_1.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py38_mkl_1.tar.bz2 | { "build": "py38_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "f5a009ecda220a4665099bec33e6cfc8", "name": "_anaconda_depends", "sha256": "222e4be03853d8164146147455802e7c10b7a56d30589e89eb6f8171594e3bf5", "size": 54234, "subdir": "linux-64", "timestamp": 1695232639947, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py38_openblas_0.conda | 1 1 | _anaconda_depends-2023.09-py38_openblas_0.conda | { "build": "py38_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "2230b64c6bc1832fee87b81bf41a05ea", "name": "_anaconda_depends", "sha256": "d44f44e3a49b11533eed00ab426240c7775719adfaff7a73c264bfed4c20ae6b", "size": 67970, "subdir": "linux-64", "timestamp": 1694616405741, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py38_openblas_0.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py38_openblas_0.tar.bz2 | { "build": "py38_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "56eef0945c581327272e41e7f12bda65", "name": "_anaconda_depends", "sha256": "c5d799ead8af01cd2c9baa53dcec94aeb3f2e121493215495d3d569db4a5f8a7", "size": 54192, "subdir": "linux-64", "timestamp": 1694616405741, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py38_openblas_1.conda | 1 1 | _anaconda_depends-2023.09-py38_openblas_1.conda | { "build": "py38_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "61d9d75a0031906dd5704285b66c00ce", "name": "_anaconda_depends", "sha256": "fc8796e7bb9887b1bace2e8efd0df66ddda1c449da2abfbc5b20f0aad44d44c5", "size": 67964, "subdir": "linux-64", "timestamp": 1695232677905, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py38_openblas_1.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py38_openblas_1.tar.bz2 | { "build": "py38_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "015a5ec397e4e4b2abee1c43e41b0f60", "name": "_anaconda_depends", "sha256": "2552d79f4a588e2201ff88bf227c01cc3dd70fd00b72cab243cfe77be93f650e", "size": 54162, "subdir": "linux-64", "timestamp": 1695232677905, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py39_mkl_0.conda | 1 1 | _anaconda_depends-2023.09-py39_mkl_0.conda | { "build": "py39_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "0f484476d87876dc944631667d4dd882", "name": "_anaconda_depends", "sha256": "21fa811ca7edb7e9997512da58fe0511ec1fead766522d374f4e7e96f87e3913", "size": 68007, "subdir": "linux-64", "timestamp": 1694616425472, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py39_mkl_0.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py39_mkl_0.tar.bz2 | { "build": "py39_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "7c468681dba85e0724709663ab1596bb", "name": "_anaconda_depends", "sha256": "e5c10b9125d6c6cffb3f4bf801b0332ea7c851afc06b6832fb3abff6b40434ec", "size": 54252, "subdir": "linux-64", "timestamp": 1694616425472, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py39_mkl_1.conda | 1 1 | _anaconda_depends-2023.09-py39_mkl_1.conda | { "build": "py39_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "c175b518be7f996c0440902478bbf75e", "name": "_anaconda_depends", "sha256": "40273a7c46aabfbc141a9acad198451679c96263ad7a5e09d6183eebabb0d2a2", "size": 67986, "subdir": "linux-64", "timestamp": 1695232665863, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py39_mkl_1.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py39_mkl_1.tar.bz2 | { "build": "py39_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * mkl", "bokeh", "curl", "daal4py", "dal", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "intel-openmp", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "mkl", "mkl-service", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scikit-learn-intelex", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "tbb4py", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "5c1a6cc19c7007987424e84b9ec23469", "name": "_anaconda_depends", "sha256": "4e5cdc5ae0d9acd98d53c835977e356934c47b01bb6b196db12261d445259f6b", "size": 54221, "subdir": "linux-64", "timestamp": 1695232665863, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py39_openblas_0.conda | 1 1 | _anaconda_depends-2023.09-py39_openblas_0.conda | { "build": "py39_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "9bfd217fab0fd149a8338aab32bb30d3", "name": "_anaconda_depends", "sha256": "23aa8d5cb3ae00d77645f9ce90516befa70e2e439fa81f528acab36eb83e26cc", "size": 67972, "subdir": "linux-64", "timestamp": 1694616431934, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py39_openblas_0.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py39_openblas_0.tar.bz2 | { "build": "py39_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "f55e2e2b3562df77e277ab9e8084538f", "name": "_anaconda_depends", "sha256": "d69abfc0d30a5c6426a0647333820c5d45d6c17ee657400276428ab04b9bbc2a", "size": 54191, "subdir": "linux-64", "timestamp": 1694616431934, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py39_openblas_1.conda | 1 1 | _anaconda_depends-2023.09-py39_openblas_1.conda | { "build": "py39_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "2f4a54bc8f8c16c438f59f37a44ac604", "name": "_anaconda_depends", "sha256": "8f5e885821c63bef4ab70b0cf4fff1fed3670ca70a2ffe25885e8c40a3641247", "size": 67959, "subdir": "linux-64", "timestamp": 1695232672057, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2023.09-py39_openblas_1.tar.bz2 | 1 1 | _anaconda_depends-2023.09-py39_openblas_1.tar.bz2 | { "build": "py39_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "jq", "jupyter", "jupyterlab", "matplotlib", "nbconvert", "networkx", "nltk", "notebook", "numba", "numpy", "openpyxl", "pandas", "panel", "pep8", "pillow", "pip", "plotly", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "python-kaleido", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "sympy", "tabulate", "transformers", "unixodbc", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "c248e67c3cea6b1af90b2b242cff0b4f", "name": "_anaconda_depends", "sha256": "3cbad2857a873c988c6932ed84e8d93d741aa41218a5fb3aa14ecc9738280179", "size": 54191, "subdir": "linux-64", "timestamp": 1695232672057, "version": "2023.09" } |
2023-09-21 17:27:55 |
1,_anaconda_depends-2024.02-py310_mkl_0.conda | 1 1 | _anaconda_depends-2024.02-py310_mkl_0.conda | { "build": "py310_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "fda34101ed75829fe3b0aba76b2a5380", "name": "_anaconda_depends", "sha256": "bc7c60f542c01be35f8d00ffb35feb94f4d7f633d519b06ed9d3f56bfd37c4c4", "size": 67954, "subdir": "linux-64", "timestamp": 1708390759386, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py310_mkl_0.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py310_mkl_0.tar.bz2 | { "build": "py310_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "26ea483d7d70708aede555af79890e8e", "name": "_anaconda_depends", "sha256": "e02a9066dfd64bca4f89c8caec0bbfe4cb2a9281e4a17c1bfcfde3a46242efa2", "size": 54149, "subdir": "linux-64", "timestamp": 1708390759386, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py310_mkl_1.conda | 1 1 | _anaconda_depends-2024.02-py310_mkl_1.conda | { "build": "py310_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "df1bfcf4bd7334f264716470d9e65462", "name": "_anaconda_depends", "sha256": "5d08ca1b9fa3e1be0edde599b4c3d2c7f43058e58d944e58733df120331b9d9e", "size": 67934, "subdir": "linux-64", "timestamp": 1708718825875, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py310_mkl_1.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py310_mkl_1.tar.bz2 | { "build": "py310_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "efc73cb92963e9a5be82d3905cf6d118", "name": "_anaconda_depends", "sha256": "3e52dd6349ad980ed27859191adb4c54d374408a486dbe88c2c75e227467dbcc", "size": 54166, "subdir": "linux-64", "timestamp": 1708718825875, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py310_openblas_0.conda | 1 1 | _anaconda_depends-2024.02-py310_openblas_0.conda | { "build": "py310_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "f45db8ed7456115d398d89fe4257deb6", "name": "_anaconda_depends", "sha256": "e56690352f2c12bca9d30db8095f84de991a97d35bebae7b183e188a183282ad", "size": 67952, "subdir": "linux-64", "timestamp": 1708390724025, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py310_openblas_0.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py310_openblas_0.tar.bz2 | { "build": "py310_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "12acc0c607b0314a8755e37e9774cc84", "name": "_anaconda_depends", "sha256": "5e92724081ea5fd57a2fb4d8cca8f90bc7c785cd7fbfc0562daa1b6bdd5ed952", "size": 54146, "subdir": "linux-64", "timestamp": 1708390724025, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py310_openblas_1.conda | 1 1 | _anaconda_depends-2024.02-py310_openblas_1.conda | { "build": "py310_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "3d35d17842dbdef7233af218dd06e03f", "name": "_anaconda_depends", "sha256": "3f6fa8d90915bc2ce96774104ec8d0ec5a72daa75dd038e2490d821a6843458f", "size": 67953, "subdir": "linux-64", "timestamp": 1708718854020, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py310_openblas_1.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py310_openblas_1.tar.bz2 | { "build": "py310_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.10,<3.11.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "872737a7810f4d3a18322a6bb0fa0773", "name": "_anaconda_depends", "sha256": "1802696b80e4a14621f00fda631eb5f81e4803b4fc5d4bce85147ac4bf5878e1", "size": 54140, "subdir": "linux-64", "timestamp": 1708718854020, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py311_mkl_0.conda | 1 1 | _anaconda_depends-2024.02-py311_mkl_0.conda | { "build": "py311_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "2d190f0de7324e1a7ff2f7bdfa4b6208", "name": "_anaconda_depends", "sha256": "441156a35ba25dc2237603399a0f1abbb033f4f59286717e662872413deb1c46", "size": 67956, "subdir": "linux-64", "timestamp": 1708390731393, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py311_mkl_0.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py311_mkl_0.tar.bz2 | { "build": "py311_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "c7fbf0647f4712207b21a73a8e88745f", "name": "_anaconda_depends", "sha256": "1f650b0d5a2da8199917b4ebbc13bac764419fee7f4012d3570c5a858657e5fe", "size": 54134, "subdir": "linux-64", "timestamp": 1708390731393, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py311_mkl_1.conda | 1 1 | _anaconda_depends-2024.02-py311_mkl_1.conda | { "build": "py311_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "0b10057da1d1c81d0a887623eab22067", "name": "_anaconda_depends", "sha256": "5d8ddc859e2584e4824e02c1ef2c05908a568f94ddc13bb1595fe12e6c613a44", "size": 67935, "subdir": "linux-64", "timestamp": 1708718846797, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py311_mkl_1.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py311_mkl_1.tar.bz2 | { "build": "py311_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "fd561ad0c4c61d904073b15473d7df6f", "name": "_anaconda_depends", "sha256": "a1485123ad1e75b54157d34acc366a6505d80ba44d7c1968795063849e7a8010", "size": 54129, "subdir": "linux-64", "timestamp": 1708718846797, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py311_openblas_0.conda | 1 1 | _anaconda_depends-2024.02-py311_openblas_0.conda | { "build": "py311_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "e04c6362896b104de15452d803587e9f", "name": "_anaconda_depends", "sha256": "53ffd244a083ed9dfdd3516e6acadf54b2e6c0a997f00656c5521d46696e968e", "size": 67971, "subdir": "linux-64", "timestamp": 1708390752148, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py311_openblas_0.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py311_openblas_0.tar.bz2 | { "build": "py311_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "a36dd58fee079f747800c900ed0970ae", "name": "_anaconda_depends", "sha256": "043577c9dcbc71c45529ad9178d3400819e3965b37afe861f77db111c1e0626d", "size": 54140, "subdir": "linux-64", "timestamp": 1708390752148, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py311_openblas_1.conda | 1 1 | _anaconda_depends-2024.02-py311_openblas_1.conda | { "build": "py311_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "67a2a43b1f3491126b7e821dcccc20c9", "name": "_anaconda_depends", "sha256": "e2944655124b017a2cf5b4a1514d9013d315adc59261bd9af3fbd4dd0453ccfe", "size": 67960, "subdir": "linux-64", "timestamp": 1708718811473, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py311_openblas_1.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py311_openblas_1.tar.bz2 | { "build": "py311_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.11,<3.12.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "9eeaca692bdbcf0778a8af6dac5ec658", "name": "_anaconda_depends", "sha256": "663ae76be72d6291b130b2abee2bc397062e8ceea6cb7c54aa60f41b4c33c82a", "size": 54120, "subdir": "linux-64", "timestamp": 1708718811473, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py38_mkl_0.conda | 1 1 | _anaconda_depends-2024.02-py38_mkl_0.conda | { "build": "py38_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "11a1df0393322d6fb63b20eaca3eefe4", "name": "_anaconda_depends", "sha256": "099c7d0225d2d445bffe29f2bf41723437cbc609e227d6cf60373d53204aac06", "size": 67940, "subdir": "linux-64", "timestamp": 1708390716767, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py38_mkl_0.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py38_mkl_0.tar.bz2 | { "build": "py38_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "9f67df58828511015686e5f2d25d68cd", "name": "_anaconda_depends", "sha256": "04e9751e948f7eb98c6b138fa320c50e5d05d0f86f3d89fb7789d9a6db579bbd", "size": 54126, "subdir": "linux-64", "timestamp": 1708390716767, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py38_mkl_1.conda | 1 1 | _anaconda_depends-2024.02-py38_mkl_1.conda | { "build": "py38_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "52bd99814529bf31b44d7008c5970a78", "name": "_anaconda_depends", "sha256": "61c6fec6c4f3c241b1c108c71c87bec27b46266f1bb2b2b0080bf55f93605f01", "size": 67918, "subdir": "linux-64", "timestamp": 1708718832680, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py38_mkl_1.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py38_mkl_1.tar.bz2 | { "build": "py38_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "05743dc2f62a457e494a6f5d7448f312", "name": "_anaconda_depends", "sha256": "24ba05024ea18852e5eb8df76a23689a49d07c23a75a62d141d3398cc8c121a9", "size": 54089, "subdir": "linux-64", "timestamp": 1708718832680, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py38_openblas_0.conda | 1 1 | _anaconda_depends-2024.02-py38_openblas_0.conda | { "build": "py38_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "117aa4eb0f0850acfa372cf78c210f0d", "name": "_anaconda_depends", "sha256": "126675d4311ea060bace646e185bf230ceb1e7c04b82250eb0829276bd1ea9f7", "size": 67940, "subdir": "linux-64", "timestamp": 1708390738007, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py38_openblas_0.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py38_openblas_0.tar.bz2 | { "build": "py38_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "ec8ab2fa390ce9fd33c9b8f973448feb", "name": "_anaconda_depends", "sha256": "e40bce962d3eb2b2acddc34efd415fe8298a2b4c15732b6b6e6761d8632c2c0d", "size": 54115, "subdir": "linux-64", "timestamp": 1708390738007, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py38_openblas_1.conda | 1 1 | _anaconda_depends-2024.02-py38_openblas_1.conda | { "build": "py38_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "8b406c19f9c5713d94dc2b10e495de5d", "name": "_anaconda_depends", "sha256": "832123cfcdfa905e45de23b05e3a734f1aeb4bd71e28650dee45ca130e48f1a5", "size": 67935, "subdir": "linux-64", "timestamp": 1708718860658, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py38_openblas_1.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py38_openblas_1.tar.bz2 | { "build": "py38_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.8,<3.9.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "51f83bef26b417063e2c631c1d9920b0", "name": "_anaconda_depends", "sha256": "99f845e99c66e6775240b74580c294bfcc8a3e290ac07960d8355294744c5488", "size": 54109, "subdir": "linux-64", "timestamp": 1708718860658, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py39_mkl_0.conda | 1 1 | _anaconda_depends-2024.02-py39_mkl_0.conda | { "build": "py39_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "cdcdf6591b2eb4c72a19039673a96e48", "name": "_anaconda_depends", "sha256": "aa1b102da83e9772dcf37ee22906a20df50bcf2d2d1ce9d1e97e7d0360c2c4f5", "size": 67923, "subdir": "linux-64", "timestamp": 1708390744980, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py39_mkl_0.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py39_mkl_0.tar.bz2 | { "build": "py39_mkl_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "8abd81d6fa31d601afcc5109df32bc55", "name": "_anaconda_depends", "sha256": "a2c8eb0885eec69f6a4ed55c00b433bc8d56af3cb63c89dd58cc30d3ba486c59", "size": 54098, "subdir": "linux-64", "timestamp": 1708390744980, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py39_mkl_1.conda | 1 1 | _anaconda_depends-2024.02-py39_mkl_1.conda | { "build": "py39_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "bf76cd3eb62101c4645b66fea957b941", "name": "_anaconda_depends", "sha256": "2091856df9ba0d772b6b0a5dc97a4476696aa225090c40746f357a0939901e10", "size": 67914, "subdir": "linux-64", "timestamp": 1708718818787, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py39_mkl_1.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py39_mkl_1.tar.bz2 | { "build": "py39_mkl_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * mkl", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mkl", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "5ce6face78d016a12b30b531d106355d", "name": "_anaconda_depends", "sha256": "a8f0df83c1661a13514cec2189e48951500ea9d851506ea20e84a0cbe15e7bd3", "size": 54116, "subdir": "linux-64", "timestamp": 1708718818787, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py39_openblas_0.conda | 1 1 | _anaconda_depends-2024.02-py39_openblas_0.conda | { "build": "py39_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "d1f7d5d4b4d780c5fa3b131b3e614659", "name": "_anaconda_depends", "sha256": "57c536c5f2327103a7266e06508de68cadf7faa993a05ede2fea9e06ffba0c55", "size": 67940, "subdir": "linux-64", "timestamp": 1708390710015, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py39_openblas_0.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py39_openblas_0.tar.bz2 | { "build": "py39_openblas_0", "build_number": 0, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-git", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "eb17b68a0a67a519f2db99bcb41dd290", "name": "_anaconda_depends", "sha256": "afd15c40589955d207a94dbab8c66c917ada61aec672ca24b94b16ab8657e635", "size": 54138, "subdir": "linux-64", "timestamp": 1708390710015, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py39_openblas_1.conda | 1 1 | _anaconda_depends-2024.02-py39_openblas_1.conda | { "build": "py39_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "7b9e386ff15b64a91a82eb7be9d62dff", "name": "_anaconda_depends", "sha256": "1b25ffa662d5f529bb4fb7da96ca1de45cc58917358c3c184b44a0d83997e45d", "size": 67937, "subdir": "linux-64", "timestamp": 1708718839484, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-2024.02-py39_openblas_1.tar.bz2 | 1 1 | _anaconda_depends-2024.02-py39_openblas_1.tar.bz2 | { "build": "py39_openblas_1", "build_number": 1, "depends": [ "astropy", "beautifulsoup4", "black", "blas * openblas", "bokeh", "curl", "dask", "datashader", "flask", "gensim", "h5py", "holoviews", "hvplot", "imbalanced-learn", "intake", "ipython", "isort", "joblib", "jq", "jupyter", "jupyterlab-variableinspector", "matplotlib", "mypy", "networkx", "nltk", "numba", "numpy", "openpyxl", "pandas", "panel", "pillow", "pip", "plotly", "pycodestyle", "pycurl", "pyflakes", "pylint", "pyodbc", "pytables", "pytest", "python >=3.9,<3.10.0a0", "pywavelets", "requests", "s3fs", "scikit-image", "scikit-learn", "scipy", "scrapy", "seaborn", "setuptools", "snowballstemmer", "spyder", "sqlalchemy", "statsmodels", "streamlit", "sympy", "tabulate", "wheel" ], "license": "BSD-3-Clause", "license_family": "BSD", "md5": "11563636dc35e22cd8db4e8d877de7c1", "name": "_anaconda_depends", "sha256": "ddd19b42621794c97f522c00f33b8eb618ad1e941273005719d0148a15d8b22d", "size": 54112, "subdir": "linux-64", "timestamp": 1708718839484, "version": "2024.02" } |
2024-02-27 15:00:07 |
1,_anaconda_depends-5.0.0-py27he0e5e41_0.conda | 1 1 | _anaconda_depends-5.0.0-py27he0e5e41_0.conda | { "build": "py27he0e5e41_0", "build_number": 0, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.functools_lru_cache", "backports.shutil_get_terminal_size", "backports_abc", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "cdecimal", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "configparser", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "enum34", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "funcsigs", "functools32", "futures", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "grin", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipaddress", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycairo", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 2.7.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scandir", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "ssl_match_hostname", "statsmodels", "subprocess32", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "e07d896e009fe7b2e4b821fd26655fba", "name": "_anaconda_depends", "sha256": "cbe4a6097f75cdeffca6d6cd4022557226594ace9985a3b399b567cf2e411af8", "size": 6031, "subdir": "linux-64", "timestamp": 1562174055449, "version": "5.0.0" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0-py27he0e5e41_0.tar.bz2 | 1 1 | _anaconda_depends-5.0.0-py27he0e5e41_0.tar.bz2 | { "build": "py27he0e5e41_0", "build_number": 0, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.functools_lru_cache", "backports.shutil_get_terminal_size", "backports_abc", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "cdecimal", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "configparser", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "enum34", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "funcsigs", "functools32", "futures", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "grin", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipaddress", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycairo", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 2.7.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scandir", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "ssl_match_hostname", "statsmodels", "subprocess32", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "f5093090a077ea0b1a5ebb589f8e5d1f", "name": "_anaconda_depends", "sha256": "f0b39b3e8ab30446ec3c2a3cfcfe48604c76b23a7a937068bfa6a666c206dc93", "size": 5283, "subdir": "linux-64", "timestamp": 1562174055449, "version": "5.0.0" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0-py35h81e3b35_0.conda | 1 1 | _anaconda_depends-5.0.0-py35h81e3b35_0.conda | { "build": "py35h81e3b35_0", "build_number": 0, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.shutil_get_terminal_size", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 3.5.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "326be1cb6a205b0352c00118f8f7b1ac", "name": "_anaconda_depends", "sha256": "3412d133293649d304c089ebd3e42274871b7f5c98df0f48829d8e4895c012b3", "size": 5851, "subdir": "linux-64", "timestamp": 1562174066309, "version": "5.0.0" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0-py35h81e3b35_0.tar.bz2 | 1 1 | _anaconda_depends-5.0.0-py35h81e3b35_0.tar.bz2 | { "build": "py35h81e3b35_0", "build_number": 0, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.shutil_get_terminal_size", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 3.5.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "17ac667e5ec71510dc5d94799d186651", "name": "_anaconda_depends", "sha256": "ab6ad4e67bba7123e143d02fd70119b61e0de819ba78d972621394f94dcaaf3a", "size": 5133, "subdir": "linux-64", "timestamp": 1562174066309, "version": "5.0.0" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0-py36h06de3c5_0.conda | 1 1 | _anaconda_depends-5.0.0-py36h06de3c5_0.conda | { "build": "py36h06de3c5_0", "build_number": 0, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.shutil_get_terminal_size", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 3.6.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "4017b7b44c6b6aeb6c999cab3617ad9c", "name": "_anaconda_depends", "sha256": "9249d9be6579437e575c4039ee4fdb69b329e491eeb40559d7189a08c4507c73", "size": 5845, "subdir": "linux-64", "timestamp": 1562174078347, "version": "5.0.0" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0-py36h06de3c5_0.tar.bz2 | 1 1 | _anaconda_depends-5.0.0-py36h06de3c5_0.tar.bz2 | { "build": "py36h06de3c5_0", "build_number": 0, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.shutil_get_terminal_size", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 3.6.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "e9a9276719edcdc53f776cfbf0d8f025", "name": "_anaconda_depends", "sha256": "0023abd2b926887c0a6dcee7832999568108f7144417796d328644809f3d38da", "size": 5118, "subdir": "linux-64", "timestamp": 1562174078347, "version": "5.0.0" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0.1-py27h1e3bc52_1.conda | 1 1 | _anaconda_depends-5.0.0.1-py27h1e3bc52_1.conda | { "build": "py27h1e3bc52_1", "build_number": 1, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.functools_lru_cache", "backports.shutil_get_terminal_size", "backports_abc", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "cdecimal", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "configparser", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "enum34", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "funcsigs", "functools32", "futures", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "grin", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipaddress", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycairo", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 2.7.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scandir", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "ssl_match_hostname", "statsmodels", "subprocess32", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "f7efe3d0720d5935ae0754976b152975", "name": "_anaconda_depends", "sha256": "6eb0bc468bfb5fbcfc9525190478f9c233f5b146a9798eb0aaddc8cfd5560143", "size": 6050, "subdir": "linux-64", "timestamp": 1562173977964, "version": "5.0.0.1" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0.1-py27h1e3bc52_1.tar.bz2 | 1 1 | _anaconda_depends-5.0.0.1-py27h1e3bc52_1.tar.bz2 | { "build": "py27h1e3bc52_1", "build_number": 1, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.functools_lru_cache", "backports.shutil_get_terminal_size", "backports_abc", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "cdecimal", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "configparser", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "enum34", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "funcsigs", "functools32", "futures", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "grin", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipaddress", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycairo", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 2.7.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scandir", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "ssl_match_hostname", "statsmodels", "subprocess32", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "67adda0ca4cdc5c7db181bbaf79e471d", "name": "_anaconda_depends", "sha256": "9678dc69e9add8fe9485b2a688039a17146c357ee887a9bbd541ecc67a3361e3", "size": 5314, "subdir": "linux-64", "timestamp": 1562173977964, "version": "5.0.0.1" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0.1-py27hfd10420_0.conda | 1 1 | _anaconda_depends-5.0.0.1-py27hfd10420_0.conda | { "build": "py27hfd10420_0", "build_number": 0, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.functools_lru_cache", "backports.shutil_get_terminal_size", "backports_abc", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "cdecimal", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "configparser", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "enum34", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "funcsigs", "functools32", "futures", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "grin", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipaddress", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycairo", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 2.7.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scandir", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "ssl_match_hostname", "statsmodels", "subprocess32", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "32c4f4f8138e301032abf5337e98cfbf", "name": "_anaconda_depends", "sha256": "46f0bc3b8f0db36ee63ff685f64db841b210e50e32c3b46ec73c2b5030616484", "size": 6050, "subdir": "linux-64", "timestamp": 1562173992756, "version": "5.0.0.1" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0.1-py27hfd10420_0.tar.bz2 | 1 1 | _anaconda_depends-5.0.0.1-py27hfd10420_0.tar.bz2 | { "build": "py27hfd10420_0", "build_number": 0, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.functools_lru_cache", "backports.shutil_get_terminal_size", "backports_abc", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "cdecimal", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "configparser", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "enum34", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "funcsigs", "functools32", "futures", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "grin", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipaddress", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycairo", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 2.7.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scandir", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "ssl_match_hostname", "statsmodels", "subprocess32", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "09f016d4097ecb4570d1830f8de5dd18", "name": "_anaconda_depends", "sha256": "37821f82c94d2a165d4bd070b71ba406b0d9cf10af611977c00422c958cb2d7e", "size": 5285, "subdir": "linux-64", "timestamp": 1562173992756, "version": "5.0.0.1" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0.1-py35h1ed3d8c_0.conda | 1 1 | _anaconda_depends-5.0.0.1-py35h1ed3d8c_0.conda | { "build": "py35h1ed3d8c_0", "build_number": 0, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.shutil_get_terminal_size", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 3.5.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "81dc0c4ca90cf699c71c8c5c55ee815d", "name": "_anaconda_depends", "sha256": "9cae286faeda6488a9ee4a8ad266a0d90aa6685a243b1f9d54744095e25fcf8e", "size": 5858, "subdir": "linux-64", "timestamp": 1562174003282, "version": "5.0.0.1" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0.1-py35h1ed3d8c_0.tar.bz2 | 1 1 | _anaconda_depends-5.0.0.1-py35h1ed3d8c_0.tar.bz2 | { "build": "py35h1ed3d8c_0", "build_number": 0, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.shutil_get_terminal_size", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 3.5.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "1d87c9478630b9a479f8df8d36fea650", "name": "_anaconda_depends", "sha256": "e38d5158e82d5d7635d8176e66d33891504af881dd1afa1ae12bf0804406d03b", "size": 5129, "subdir": "linux-64", "timestamp": 1562174003282, "version": "5.0.0.1" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0.1-py35h6d98c0b_1.conda | 1 1 | _anaconda_depends-5.0.0.1-py35h6d98c0b_1.conda | { "build": "py35h6d98c0b_1", "build_number": 1, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.shutil_get_terminal_size", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 3.5.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "deaab90a6304a2a985fd41074bd3767c", "name": "_anaconda_depends", "sha256": "71b6782c973e91597be3502314ab69297ce5691072a507347bcbb1b31b5eb8ad", "size": 5853, "subdir": "linux-64", "timestamp": 1562174015006, "version": "5.0.0.1" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0.1-py35h6d98c0b_1.tar.bz2 | 1 1 | _anaconda_depends-5.0.0.1-py35h6d98c0b_1.tar.bz2 | { "build": "py35h6d98c0b_1", "build_number": 1, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.shutil_get_terminal_size", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 3.5.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "3d99e3cb24311a7ebce55bd107308c58", "name": "_anaconda_depends", "sha256": "23baa4de51200325ce8872ee8397b4afd2fef3cb15dea1a083b7892cdb92a571", "size": 5118, "subdir": "linux-64", "timestamp": 1562174015006, "version": "5.0.0.1" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0.1-py36h6c6c83f_0.conda | 1 1 | _anaconda_depends-5.0.0.1-py36h6c6c83f_0.conda | { "build": "py36h6c6c83f_0", "build_number": 0, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.shutil_get_terminal_size", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 3.6.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "4fe25809f030bfc967c772ecb210b9f3", "name": "_anaconda_depends", "sha256": "e0ca31998bd82227e8f923b2792d6201f3c31cbb080d410e0096e436c5de7a20", "size": 5851, "subdir": "linux-64", "timestamp": 1562174027781, "version": "5.0.0.1" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0.1-py36h6c6c83f_0.tar.bz2 | 1 1 | _anaconda_depends-5.0.0.1-py36h6c6c83f_0.tar.bz2 | { "build": "py36h6c6c83f_0", "build_number": 0, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.shutil_get_terminal_size", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 3.6.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "c40e1224b833fe2858d1bcd138c74e93", "name": "_anaconda_depends", "sha256": "db30af573df44b26bbfe86d574821f33d2556d80a1921aa181c6b587c2d783c5", "size": 5122, "subdir": "linux-64", "timestamp": 1562174027781, "version": "5.0.0.1" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0.1-py36hfb0b618_1.conda | 1 1 | _anaconda_depends-5.0.0.1-py36hfb0b618_1.conda | { "build": "py36hfb0b618_1", "build_number": 1, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.shutil_get_terminal_size", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 3.6.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "8e692147e9fe06b4b9ce4faed06e9132", "name": "_anaconda_depends", "sha256": "96ee39d152de9d013f9a7e2551c226cb5bf8eda8af91199fe00bfbbfd3d18045", "size": 5852, "subdir": "linux-64", "timestamp": 1562174040487, "version": "5.0.0.1" } |
2022-05-24 19:40:27 |
1,_anaconda_depends-5.0.0.1-py36hfb0b618_1.tar.bz2 | 1 1 | _anaconda_depends-5.0.0.1-py36hfb0b618_1.tar.bz2 | { "build": "py36hfb0b618_1", "build_number": 1, "depends": [ "alabaster", "anaconda-client", "anaconda-navigator", "anaconda-project", "asn1crypto", "astroid", "astropy", "babel", "backports", "backports.shutil_get_terminal_size", "beautifulsoup4", "bitarray", "bkcharts", "blaze", "bleach", "bokeh", "boto", "bottleneck", "ca-certificates", "cairo", "certifi", "cffi", "chardet", "click", "cloudpickle", "clyent", "colorama", "contextlib2", "cryptography", "curl", "cycler", "cython", "cytoolz", "dask", "dask-core", "datashape", "dbus", "decorator", "distributed", "docutils", "entrypoints", "et_xmlfile", "expat", "fastcache", "filelock", "flask", "flask-cors", "fontconfig", "freetype", "get_terminal_size", "gevent", "glib", "glob2", "gmp", "gmpy2", "graphite2", "greenlet", "gst-plugins-base", "gstreamer", "h5py", "harfbuzz", "hdf5", "heapdict", "html5lib", "icu", "idna", "imageio", "imagesize", "intel-openmp", "ipykernel", "ipython", "ipython_genutils", "ipywidgets", "isort", "itsdangerous", "jbig", "jdcal", "jedi", "jinja2", "jpeg", "jsonschema", "jupyter", "jupyter_client", "jupyter_console", "jupyter_core", "jupyterlab", "jupyterlab_launcher", "lazy-object-proxy", "libedit", "libffi", "libgcc-ng", "libgfortran-ng", "libpng", "libsodium", "libssh2", "libstdcxx-ng", "libtiff", "libtool", "libxcb", "libxml2", "libxslt", "llvmlite", "locket", "lxml", "lzo", "markupsafe", "matplotlib", "mccabe", "mistune", "mkl", "mkl-service", "mpc", "mpfr", "mpmath", "msgpack-python", "multipledispatch", "navigator-updater", "nbconvert", "nbformat", "ncurses", "networkx", "nltk", "nose", "notebook", "numba", "numexpr", "numpy", "numpydoc", "odo", "olefile", "openpyxl", "openssl", "packaging", "pandas", "pandoc", "pandocfilters", "pango", "partd", "patchelf", "path.py", "pathlib2", "patsy", "pcre", "pep8", "pexpect", "pickleshare", "pillow", "pip", "pixman", "pkginfo", "ply", "prompt_toolkit", "psutil", "ptyprocess", "py", "pycodestyle", "pycosat", "pycparser", "pycrypto", "pycurl", "pyflakes", "pygments", "pylint", "pyodbc", "pyopenssl", "pyparsing", "pyqt", "pysocks", "pytables", "pytest", "python 3.6.*", "python-dateutil", "pytz", "pywavelets", "pyyaml", "pyzmq", "qt", "qtawesome", "qtconsole", "qtpy", "readline", "requests", "rope", "ruamel_yaml", "scikit-image", "scikit-learn", "scipy", "seaborn", "setuptools", "simplegeneric", "singledispatch", "sip", "six", "snowballstemmer", "sortedcollections", "sortedcontainers", "sphinx", "sphinxcontrib", "sphinxcontrib-websupport", "spyder", "sqlalchemy", "sqlite", "statsmodels", "sympy", "tblib", "terminado", "testpath", "tk", "toolz", "tornado", "traitlets", "typing", "unicodecsv", "unixodbc", "urllib3", "wcwidth", "webencodings", "werkzeug", "wheel", "widgetsnbextension", "wrapt", "xlrd", "xlsxwriter", "xlwt", "xz", "yaml", "zeromq", "zict", "zlib" ], "license": "BSD", "md5": "e7c7235e58f3dc89f474e211e711a4e0", "name": "_anaconda_depends", "sha256": "de361ad61f1655a25f2aca0f7c1f08e88e3c8530141d9a6d19d4cbc32cb5bc10", "size": 5120, "subdir": "linux-64", "timestamp": 1562174040487, "version": "5.0.0.1" } |
2022-05-24 19:40:27 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE repodata_packages (repodata_id INTEGER NOT NULL, package TEXT NOT NULL, index_json TEXT NOT NULL, timestamp TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (repodata_id, package), FOREIGN KEY (repodata_id) REFERENCES repodata(id));