{"package": "litstudy", "summary": "Using the power of Python and Jupyter notebooks to automate analysis of scientific literature", "pypi_url": "https://pypi.org/project/litstudy", "piwheels_url": "https://www.piwheels.org/project/litstudy", "releases": {"1.0.6": {"released": "2023-10-05 07:12:35", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"litstudy-1.0.6-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/litstudy/litstudy-1.0.6-py3-none-any.whl", "filehash": "91b372ac3cab4b9fac32b44414c7489f0c41b611a23c3659094fb38843eb10b2", "filesize": 50023, "builder_abi": "cp311", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.7", "apt_dependencies": [], "pip_dependencies": ["bibtexparser", "feedparser", "gensim", "matplotlib", "networkx", "numpy", "pandas", "pybliometrics", "pyvis", "requests", "scikit-learn", "seaborn", "unidecode", "wordcloud"]}}}, "1.0.5": {"released": "2023-03-28 13:16:18", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"litstudy-1.0.5-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/litstudy/litstudy-1.0.5-py3-none-any.whl", "filehash": "cfdb8dc84884676d12f370eb4810211850c5a32c05f3c4dab2d1baa9f036df8e", "filesize": 48073, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.7", "apt_dependencies": [], "pip_dependencies": ["bibtexparser", "feedparser", "gensim", "matplotlib", "networkx", "numpy", "pandas", "pybliometrics", "pyvis", "requests", "scikit-learn", "seaborn", "unidecode", "wordcloud"]}}}, "1.0.4": {"released": "2023-03-02 20:20:24", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"litstudy-1.0.4-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/litstudy/litstudy-1.0.4-py3-none-any.whl", "filehash": "81db42ce39255c2cec6b535fb0040591c1f1261c7487240ef4e7bda2ebb68faf", "filesize": 45314, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.7", "apt_dependencies": [], "pip_dependencies": ["bibtexparser", "feedparser", "gensim", "matplotlib", "networkx", "numpy", "pandas", "pybliometrics", "pyvis", "requests", "scikit-learn", "seaborn", "unidecode", "wordcloud"]}}}, "1.0.3": {"released": "2022-09-21 12:49:26", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"litstudy-1.0.3-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/litstudy/litstudy-1.0.3-py3-none-any.whl", "filehash": "7d8dce6add7b574d16160f732a9f2095ceff5f718183005630c7988cb4a388c5", "filesize": 43343, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.6", "apt_dependencies": [], "pip_dependencies": ["bibtexparser", "feedparser", "gensim", "matplotlib", "networkx", "numpy", "pandas", "pybliometrics", "pyvis", "requests", "seaborn", "sklearn", "unidecode", "wordcloud"]}}}, "1.0.2": {"released": "2022-05-25 19:03:14", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"litstudy-1.0.2-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/litstudy/litstudy-1.0.2-py3-none-any.whl", "filehash": "c2616c5ba6e8f29ec65ca3039cb65b1d08a7bd44a456d6aef69fd81bbaeab5bc", "filesize": 43219, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.6", "apt_dependencies": [], "pip_dependencies": ["bibtexparser", "feedparser", "gensim", "matplotlib", "networkx", "numpy", "pandas", "pybliometrics", "pyvis", "requests", "seaborn", "sklearn", "unidecode", "wordcloud"]}}}, "1.0.1": {"released": "2022-05-16 15:43:46", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"litstudy-1.0.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/litstudy/litstudy-1.0.1-py3-none-any.whl", "filehash": "6a7de3455e191d5ea25f81b8f906806292c05f13ce0ff6dfb64c5f3bf079e8b2", "filesize": 43236, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.6", "apt_dependencies": [], "pip_dependencies": ["bibtexparser", "fa2", "feedparser", "gensim", "matplotlib", "networkx", "numpy", "pandas", "pybliometrics", "pyvis", "requests", "seaborn", "sklearn", "unidecode", "wordcloud"]}}}, "1.0.0": {"released": "2022-02-17 15:24:38", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"litstudy-1.0.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/litstudy/litstudy-1.0.0-py3-none-any.whl", "filehash": "eab4104055a987f1eb579be72fe2904d31246979a3bef6539c765a75a33a6280", "filesize": 42084, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.6", "apt_dependencies": [], "pip_dependencies": ["bibtexparser", "fa2", "gensim", "matplotlib", "networkx", "numpy", "pandas", "pybliometrics", "pyvis", "requests", "seaborn", "sklearn", "unidecode", "wordcloud"]}}}, "0.2.0": {"released": "2022-01-25 20:01:05", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"litstudy-0.2.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/litstudy/litstudy-0.2.0-py3-none-any.whl", "filehash": "87efcf5ce482d3c19554cbc2556f7ea5fe0659156524689e7db4056a96a8cb7d", "filesize": 39982, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.6", "apt_dependencies": [], "pip_dependencies": ["bibtexparser", "fa2", "gensim", "matplotlib", "networkx", "numpy", "pandas", "pybliometrics", "pyvis", "requests", "seaborn", "sklearn", "unidecode", "wordcloud"]}}}}}