{
    "info": {
        "author": "Tiago de Paula Peixoto",
        "author_email": "tiago@skewed.de",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License (GPL)",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: POSIX :: Linux",
            "Operating System :: POSIX :: Other",
            "Operating System :: Unix",
            "Programming Language :: C++",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.3",
            "Programming Language :: Python :: 2.4",
            "Programming Language :: Python :: 2.5",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.0",
            "Programming Language :: Python :: 3.1",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Physics"
        ],
        "description": "graph-tool is an efficient python module for manipulation and statistical\r\nanalysis of graphs.\r\n\r\nDespite its nice, soft outer appearance of a regular python module, the core\r\nalgorithms and data structures of graph-tool are written in C++, making use of\r\nthe  Boost Graph Library and template metaprogramming, with performance in mind.\r\nMost of the time, you can expect the algorithms to run just as fast as if\r\ngraph-tool were a pure C++ library.\r\n\r\nIt contains several algorithms present in the Boost Graph Library, and many\r\nothers, such as random graph generation (with arbitrary degree sequence and\r\ncorrelations), clustering, motifs, community detection, graph randomization,\r\nsubgraph isomorphism, etc.",
        "description_content_type": null,
        "docs_url": "https://pythonhosted.org/graph-tool/",
        "download_url": "http://graph-tool.skewed.de/download",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://graph-tool.skewed.de",
        "keywords": "graph, graph theory, network, science, math, physics",
        "license": "",
        "maintainer": "",
        "maintainer_email": "",
        "name": "graph-tool",
        "package_url": "https://pypi.org/project/graph-tool/",
        "platform": "",
        "project_url": "https://pypi.org/project/graph-tool/",
        "project_urls": {
            "Download": "http://graph-tool.skewed.de/download",
            "Homepage": "http://graph-tool.skewed.de"
        },
        "release_url": "https://pypi.org/project/graph-tool/2.11/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "An efficient python module for manipulation and statistical analysis of  graphs.",
        "version": "2.11"
    },
    "last_serial": 1788298,
    "releases": {
        "2.10": [],
        "2.11": [],
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        "2.2.29.1": [],
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    "urls": []
}