ElMD


NameElMD JSON
Version 0.5.13 PyPI version JSON
download
home_pagehttps://github.com/lrcfmd/ElMD/
SummaryAn implementation of the Element movers distance for chemical similarity of ionic compositions
upload_time2024-03-15 04:14:19
maintainer
docs_urlNone
authorCameron Hagreaves
requires_python
licenseGPL3
keywords cheminformatics materials science machine learning materials representation
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/lrcfmd/ElMD/",
    "name": "ElMD",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "ChemInformatics,Materials Science,Machine Learning,Materials Representation",
    "author": "Cameron Hagreaves",
    "author_email": "cameron.h@rgreaves.me.uk",
    "download_url": "https://files.pythonhosted.org/packages/2b/1f/24aa59692560d64c05d60e5b1ba44f61b50cd9c923fbc02bb0aa534310a1/ElMD-0.5.13.tar.gz",
    "platform": null,
    "description": "",
    "bugtrack_url": null,
    "license": "GPL3",
    "summary": "An implementation of the Element movers distance for chemical similarity of ionic compositions",
    "version": "0.5.13",
    "project_urls": {
        "Download": "https://github.com/lrcfmd/ElMD/archive/v0.5.12.tar.gz",
        "Homepage": "https://github.com/lrcfmd/ElMD/"
    },
    "split_keywords": [
        "cheminformatics",
        "materials science",
        "machine learning",
        "materials representation"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "2b1f24aa59692560d64c05d60e5b1ba44f61b50cd9c923fbc02bb0aa534310a1",
                "md5": "4cdefe15ad72060270f53fd241ba3d52",
                "sha256": "caf35820fef9b9a798632dacc7c52447f8fd87ba5ab1c6c089009828a42b06dd"
            },
            "downloads": -1,
            "filename": "ElMD-0.5.13.tar.gz",
            "has_sig": false,
            "md5_digest": "4cdefe15ad72060270f53fd241ba3d52",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 1162308,
            "upload_time": "2024-03-15T04:14:19",
            "upload_time_iso_8601": "2024-03-15T04:14:19.470050Z",
            "url": "https://files.pythonhosted.org/packages/2b/1f/24aa59692560d64c05d60e5b1ba44f61b50cd9c923fbc02bb0aa534310a1/ElMD-0.5.13.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-03-15 04:14:19",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "lrcfmd",
    "github_project": "ElMD",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "elmd"
}
        
Elapsed time: 0.21864s