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    "info": {
        "author": "Andrew Simmons",
        "author_email": "anjsimmo@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Text Processing :: Markup"
        ],
        "description": "Labels To Tables\n========================\n\nlabels2tables extracts keywords from a bibtex file, and uses them to generate an academic summary table comparing the articles.\n\nExample\n--------\n\nInput:\n\n::\n\n  @article{duch_quantifying_2010,\n           keywords = {game:soccer, model:network:centrality, open-access}}\n  @article{yamamoto_common_2011,\n           keywords = {game:soccer, model:network:scale-free, open-access}}\n  @article{yaari_hot_2011,\n           keywords = {game:basketball, model:sequence, open-access}}\n\nTransformation:\n\n::\n\n  import labels2tables\n  labels = labels2tables.bib2labels(\"examples/sport.in.bib\")\n  labels2tables.labels2txt(labels, \"examples/sport.out.txt\")\n\nOutput:\n\n::\n\n  ========================================================\n  game       model       open-access reference            \n  ========================================================\n  soccer     network                                      \n              centrality Y           duch_quantifying_2010\n              scale-free Y           yamamoto_common_2011 \n  basketball sequence    Y           yaari_hot_2011       \n  ========================================================\n\nAdvanced\n--------\nThe intermediate labels format encodes table data using standard Python dictionaries, lists and tuples. See `examples/*.spec.txt` for example tables, and how to describe them as a labels dictionary.\n\nAcknowledgements\n----------------\nPowered by `bibtexparser`",
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        "keywords": "",
        "license": "MIT",
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        "name": "labels2tables",
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        "summary": "Turns bibtex keywords into an academic summary table",
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