Graphillion


NameGraphillion JSON
Version 1.8 PyPI version JSON
download
home_pagehttp://graphillion.org/
SummaryFast, lightweight library for a huge number of graphs
upload_time2024-06-16 15:23:42
maintainerNone
docs_urlNone
authorTakeru Inoue
requires_pythonNone
licenseMIT
keywords graph set math network
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            Graphillion is a Python library for efficient graphset operations.
Unlike existing graph tools such as NetworkX, which are designed to
manipulate just a single graph at a time, Graphillion handles a large
set of graphs with great efficiency.  Surprisingly, trillions of
trillions of graphs can be processed on a single computer.



            

Raw data

            {
    "_id": null,
    "home_page": "http://graphillion.org/",
    "name": "Graphillion",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "graph, set, math, network",
    "author": "Takeru Inoue",
    "author_email": "takeru.inoue@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/32/be/45a1299f42b5f89e960afd03d322be01aa068cc0e42aa41e5f0715233491/Graphillion-1.8.tar.gz",
    "platform": null,
    "description": "Graphillion is a Python library for efficient graphset operations.\nUnlike existing graph tools such as NetworkX, which are designed to\nmanipulate just a single graph at a time, Graphillion handles a large\nset of graphs with great efficiency.  Surprisingly, trillions of\ntrillions of graphs can be processed on a single computer.\n\n\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Fast, lightweight library for a huge number of graphs",
    "version": "1.8",
    "project_urls": {
        "Homepage": "http://graphillion.org/"
    },
    "split_keywords": [
        "graph",
        " set",
        " math",
        " network"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "fa51b181e3c6e49780e23d497a4386bfd99eff6676f849b87de2332cb082b72a",
                "md5": "845e49e8574301bc3c7f2f31d7c5e1fc",
                "sha256": "4b1a06ad508fcb02f9d749de98ca2c6d7c5d6db03add13608118ea3988ef370d"
            },
            "downloads": -1,
            "filename": "Graphillion-1.8-cp39-cp39-macosx_10_9_universal2.whl",
            "has_sig": false,
            "md5_digest": "845e49e8574301bc3c7f2f31d7c5e1fc",
            "packagetype": "bdist_wheel",
            "python_version": "cp39",
            "requires_python": null,
            "size": 718799,
            "upload_time": "2024-06-16T15:23:39",
            "upload_time_iso_8601": "2024-06-16T15:23:39.710589Z",
            "url": "https://files.pythonhosted.org/packages/fa/51/b181e3c6e49780e23d497a4386bfd99eff6676f849b87de2332cb082b72a/Graphillion-1.8-cp39-cp39-macosx_10_9_universal2.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "32be45a1299f42b5f89e960afd03d322be01aa068cc0e42aa41e5f0715233491",
                "md5": "22a7c77e02b508f73680771c561c6d8a",
                "sha256": "1154d8a98e050b143d5c4de058debc93383570207c1edd66f21e0adaffd8addc"
            },
            "downloads": -1,
            "filename": "Graphillion-1.8.tar.gz",
            "has_sig": false,
            "md5_digest": "22a7c77e02b508f73680771c561c6d8a",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 1116291,
            "upload_time": "2024-06-16T15:23:42",
            "upload_time_iso_8601": "2024-06-16T15:23:42.057085Z",
            "url": "https://files.pythonhosted.org/packages/32/be/45a1299f42b5f89e960afd03d322be01aa068cc0e42aa41e5f0715233491/Graphillion-1.8.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-06-16 15:23:42",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "graphillion"
}
        
Elapsed time: 0.30466s