timbertrek

Name	timbertrek JSON
Version	0.1.7 JSON
	download
home_page	https://github.com/poloclub/timbertrek
Summary	A Python package to run TimberTrek in your computational notebooks.
upload_time	2022-12-19 18:43:32
maintainer
docs_url	None
author	Jay Wang
requires_python	>=3.6
license	MIT license
keywords	jupyter jupyterlab jupyterlab3 machine learning interpretable ml visualization interactive visualization
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # TimberTrek

A Python package to run TimberTrek in your computation notebooks.

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/poloclub/timbertrek",
    "name": "timbertrek",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.6",
    "maintainer_email": "",
    "keywords": "Jupyter,JupyterLab,JupyterLab3,Machine Learning,Interpretable ML,Visualization,Interactive Visualization",
    "author": "Jay Wang",
    "author_email": "jayw@zijie.wang",
    "download_url": "https://files.pythonhosted.org/packages/e7/89/ed7f2750e3ce27ff6ffd3dab5bc7e37ca59a5047fb15cfcdf0f434417818/timbertrek-0.1.7.tar.gz",
    "platform": "Linux",
    "description": "# TimberTrek\n\nA Python package to run TimberTrek in your computation notebooks.\n",
    "bugtrack_url": null,
    "license": "MIT license",
    "summary": "A Python package to run TimberTrek in your computational notebooks.",
    "version": "0.1.7",
    "split_keywords": [
        "jupyter",
        "jupyterlab",
        "jupyterlab3",
        "machine learning",
        "interpretable ml",
        "visualization",
        "interactive visualization"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "977a2b6fc8227bee99e66dc8eaf98fdd",
                "sha256": "df1e1833c028389b0c4e83fee276e4f130dc40c0e32702e753902967cf054997"
            },
            "downloads": -1,
            "filename": "timbertrek-0.1.7-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "977a2b6fc8227bee99e66dc8eaf98fdd",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": ">=3.6",
            "size": 170793,
            "upload_time": "2022-12-19T18:43:30",
            "upload_time_iso_8601": "2022-12-19T18:43:30.746480Z",
            "url": "https://files.pythonhosted.org/packages/a5/33/7f02e4d0c85f4982cc1fc9e8c1265b3654dc96f34621021061c39a9de692/timbertrek-0.1.7-py2.py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "3d62e59ee6cc03e4e253f61e7a7a63bf",
                "sha256": "83f558ecfb4d8b11a79525cc7846b185803a707455566e638f15dfd26de3084b"
            },
            "downloads": -1,
            "filename": "timbertrek-0.1.7.tar.gz",
            "has_sig": false,
            "md5_digest": "3d62e59ee6cc03e4e253f61e7a7a63bf",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 164725,
            "upload_time": "2022-12-19T18:43:32",
            "upload_time_iso_8601": "2022-12-19T18:43:32.476093Z",
            "url": "https://files.pythonhosted.org/packages/e7/89/ed7f2750e3ce27ff6ffd3dab5bc7e37ca59a5047fb15cfcdf0f434417818/timbertrek-0.1.7.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2022-12-19 18:43:32",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "poloclub",
    "github_project": "timbertrek",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "timbertrek"
}