pymnet


Namepymnet JSON
Version 0.2.0 PyPI version JSON
download
home_pageNone
SummaryMultilayer network analysis library for Python
upload_time2024-05-29 18:25:56
maintainerNone
docs_urlNone
authorNone
requires_python>=3.8
licenseGPLv3
keywords complex networks networks network graphs graph theory graph multilayer networks multilayer network
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # pymnet: Multilayer Network Analysis in Python #

[![codecov](https://codecov.io/gh/mnets/pymnet/graph/badge.svg?token=LI6QBAF7N0)](https://codecov.io/gh/mnets/pymnet)

### What is this repository for? ###

* Multilayer network analysis library for Python
* [Documentation](http://mkivela.com/pymnet/)
* [Tutorial](http://mkivela.com/pymnet/tutorial.html) for getting started.

### Main features ###

* Pure Python
* Can handle general [multilayer networks](http://comnet.oxfordjournals.org/content/2/3/203)
* Multilayer networks and multiplex networks (with automatically generated lazy-evaluation coupling edges)
* Functionality: Analysis, transformations, reading and writing networks, network models etc.
* Visualization (using Matplotlib)
* Integration with [NetworkX](https://networkx.github.io/) for monoplex network analysis


### Contribution guidelines ###

* Contributions welcome
* Please write unit tests and add them to the testing framework
* Documentation using Python docstring and Sphinx


### Who do I talk to? ###

* The main developer: [Mikko Kivela](http://www.mkivela.com/)

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "pymnet",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": null,
    "keywords": "Complex Networks, Networks, network, Graphs, Graph Theory, graph, Multilayer Networks, multilayer network",
    "author": null,
    "author_email": "Mikko Kivel\u00e4 <mikko.kivela@iki.fi>",
    "download_url": null,
    "platform": null,
    "description": "# pymnet: Multilayer Network Analysis in Python #\n\n[![codecov](https://codecov.io/gh/mnets/pymnet/graph/badge.svg?token=LI6QBAF7N0)](https://codecov.io/gh/mnets/pymnet)\n\n### What is this repository for? ###\n\n* Multilayer network analysis library for Python\n* [Documentation](http://mkivela.com/pymnet/)\n* [Tutorial](http://mkivela.com/pymnet/tutorial.html) for getting started.\n\n### Main features ###\n\n* Pure Python\n* Can handle general [multilayer networks](http://comnet.oxfordjournals.org/content/2/3/203)\n* Multilayer networks and multiplex networks (with automatically generated lazy-evaluation coupling edges)\n* Functionality: Analysis, transformations, reading and writing networks, network models etc.\n* Visualization (using Matplotlib)\n* Integration with [NetworkX](https://networkx.github.io/) for monoplex network analysis\n\n\n### Contribution guidelines ###\n\n* Contributions welcome\n* Please write unit tests and add them to the testing framework\n* Documentation using Python docstring and Sphinx\n\n\n### Who do I talk to? ###\n\n* The main developer: [Mikko Kivela](http://www.mkivela.com/)\n",
    "bugtrack_url": null,
    "license": "GPLv3",
    "summary": "Multilayer network analysis library for Python",
    "version": "0.2.0",
    "project_urls": {
        "bug-tracker": "https://github.com/mnets/pymnet/issues",
        "documentation": "https://mnets.github.io/pymnet/",
        "homepage": "https://mnets.github.io/pymnet/",
        "repository": "https://github.com/mnets/pymnet"
    },
    "split_keywords": [
        "complex networks",
        " networks",
        " network",
        " graphs",
        " graph theory",
        " graph",
        " multilayer networks",
        " multilayer network"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "2172a14f4d67d69695fe543e8197cb7e5b420b3b60477b968053eaddbd6a3e9a",
                "md5": "50567b0deaceb7e6dc5225246d0db69a",
                "sha256": "1a69ceff0521fb81d207951b34235578c5e6f423af4f530a093c2e52968af3d1"
            },
            "downloads": -1,
            "filename": "pymnet-0.2.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "50567b0deaceb7e6dc5225246d0db69a",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 128406,
            "upload_time": "2024-05-29T18:25:56",
            "upload_time_iso_8601": "2024-05-29T18:25:56.641452Z",
            "url": "https://files.pythonhosted.org/packages/21/72/a14f4d67d69695fe543e8197cb7e5b420b3b60477b968053eaddbd6a3e9a/pymnet-0.2.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-05-29 18:25:56",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "mnets",
    "github_project": "pymnet",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "tox": true,
    "lcname": "pymnet"
}
        
Elapsed time: 0.42097s