xenopict


Namexenopict JSON
Version 0.1b17 PyPI version JSON
download
home_pagehttps://github.com/swamidasslab/xenopict/
SummaryLibrary for publication quality depictions of small molecules.
upload_time2023-07-28 18:17:31
maintainer
docs_urlNone
authorS. Joshua Swamidass
requires_python
license
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Xenopict

Xenopict is a package for generating publication quality 2D depictions of small molecules, 
with special attention to "shading" molecules with atom or bond level properties. This package
relies on RDKit generation an initial SVG depiction of the input molecule.

Read the [documentation](https://xenopict.readthedocs.io/en/latest/) for more information.

This package is in beta. It's API is still subject to substantial revisions. It is in active use by our laboratory, 
and several bugs and features are added frequently.

[![CircleCI](https://dl.circleci.com/status-badge/img/gh/swamidasslab/xenopict/tree/main.svg?style=svg)](https://dl.circleci.com/status-badge/redirect/gh/swamidasslab/xenopict/tree/main)



            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/swamidasslab/xenopict/",
    "name": "xenopict",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "",
    "author": "S. Joshua Swamidass",
    "author_email": "swamidass@wustl.edu",
    "download_url": "https://files.pythonhosted.org/packages/cc/ec/8bb0062d38cead626c0ec105e9817d11ac6eba8faae59fe43ce7d6a21900/xenopict-0.1b17.tar.gz",
    "platform": null,
    "description": "# Xenopict\n\nXenopict is a package for generating publication quality 2D depictions of small molecules, \nwith special attention to \"shading\" molecules with atom or bond level properties. This package\nrelies on RDKit generation an initial SVG depiction of the input molecule.\n\nRead the [documentation](https://xenopict.readthedocs.io/en/latest/) for more information.\n\nThis package is in beta. It's API is still subject to substantial revisions. It is in active use by our laboratory, \nand several bugs and features are added frequently.\n\n[![CircleCI](https://dl.circleci.com/status-badge/img/gh/swamidasslab/xenopict/tree/main.svg?style=svg)](https://dl.circleci.com/status-badge/redirect/gh/swamidasslab/xenopict/tree/main)\n\n\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "Library for publication quality depictions of small molecules.",
    "version": "0.1b17",
    "project_urls": {
        "Homepage": "https://github.com/swamidasslab/xenopict/"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ccec8bb0062d38cead626c0ec105e9817d11ac6eba8faae59fe43ce7d6a21900",
                "md5": "eae311358d934abe2419b7387d9a2a4a",
                "sha256": "941d4b15796f9d772407b699199e2d4cf32f14fb619c527f385afa7d6bb16cc9"
            },
            "downloads": -1,
            "filename": "xenopict-0.1b17.tar.gz",
            "has_sig": false,
            "md5_digest": "eae311358d934abe2419b7387d9a2a4a",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 48854,
            "upload_time": "2023-07-28T18:17:31",
            "upload_time_iso_8601": "2023-07-28T18:17:31.552343Z",
            "url": "https://files.pythonhosted.org/packages/cc/ec/8bb0062d38cead626c0ec105e9817d11ac6eba8faae59fe43ce7d6a21900/xenopict-0.1b17.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-07-28 18:17:31",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "swamidasslab",
    "github_project": "xenopict",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "circle": true,
    "requirements": [],
    "lcname": "xenopict"
}
        
Elapsed time: 0.12202s