Graphillion


NameGraphillion JSON
Version 1.9 PyPI version JSON
download
home_pagehttps://github.com/takemaru/graphillion
SummaryFast, lightweight library for a huge number of graphs
upload_time2024-10-04 15:48:21
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": "https://github.com/takemaru/graphillion",
    "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/d1/46/fa3f1e5be184190dd4b125d6a6982906802278b25c6aa94274cc63e4150a/graphillion-1.9.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",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Fast, lightweight library for a huge number of graphs",
    "version": "1.9",
    "project_urls": {
        "Homepage": "https://github.com/takemaru/graphillion"
    },
    "split_keywords": [
        "graph",
        " set",
        " math",
        " network"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "9a2feb1d9aa4a8940d272802793981eaa4b22f4eb248ed310c6f6699ee6819d5",
                "md5": "75968f2a382393d63525821cd586d7e8",
                "sha256": "43a5a06edbe352916cbf2a312b997217bff10a37ae8fbc05cb306b644097852a"
            },
            "downloads": -1,
            "filename": "Graphillion-1.9-cp310-cp310-manylinux1_x86_64.whl",
            "has_sig": false,
            "md5_digest": "75968f2a382393d63525821cd586d7e8",
            "packagetype": "bdist_wheel",
            "python_version": "cp310",
            "requires_python": null,
            "size": 8787068,
            "upload_time": "2024-10-04T15:47:53",
            "upload_time_iso_8601": "2024-10-04T15:47:53.353226Z",
            "url": "https://files.pythonhosted.org/packages/9a/2f/eb1d9aa4a8940d272802793981eaa4b22f4eb248ed310c6f6699ee6819d5/Graphillion-1.9-cp310-cp310-manylinux1_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "7eae3a7dace4cc75a2b2afc275e5387840937ed091ef45624677fbac492e5973",
                "md5": "3c581cb5af87285863b0f255a059e3c7",
                "sha256": "24e23a8bd925387bf8425aa8764869d43af5a83bc848b0a6090f743e53ee64b7"
            },
            "downloads": -1,
            "filename": "Graphillion-1.9-cp39-cp39-macosx_10_9_universal2.whl",
            "has_sig": false,
            "md5_digest": "3c581cb5af87285863b0f255a059e3c7",
            "packagetype": "bdist_wheel",
            "python_version": "cp39",
            "requires_python": null,
            "size": 760303,
            "upload_time": "2024-10-04T15:43:07",
            "upload_time_iso_8601": "2024-10-04T15:43:07.638275Z",
            "url": "https://files.pythonhosted.org/packages/7e/ae/3a7dace4cc75a2b2afc275e5387840937ed091ef45624677fbac492e5973/Graphillion-1.9-cp39-cp39-macosx_10_9_universal2.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "d146fa3f1e5be184190dd4b125d6a6982906802278b25c6aa94274cc63e4150a",
                "md5": "6d954e228e2ee5df1f5e0e9199cab139",
                "sha256": "2b719a353c4a07b0eb575db56cbee90bd25a5ad8c19925ebc13056309b965bed"
            },
            "downloads": -1,
            "filename": "graphillion-1.9.tar.gz",
            "has_sig": false,
            "md5_digest": "6d954e228e2ee5df1f5e0e9199cab139",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 1147883,
            "upload_time": "2024-10-04T15:48:21",
            "upload_time_iso_8601": "2024-10-04T15:48:21.467531Z",
            "url": "https://files.pythonhosted.org/packages/d1/46/fa3f1e5be184190dd4b125d6a6982906802278b25c6aa94274cc63e4150a/graphillion-1.9.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-10-04 15:48:21",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "takemaru",
    "github_project": "graphillion",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "tox": true,
    "lcname": "graphillion"
}
        
Elapsed time: 0.31925s