niftypad


Nameniftypad JSON
Version 2.0.0 PyPI version JSON
download
home_page
SummaryNeuroimaging for the Prevention of Alzheimer's Disease
upload_time2023-06-21 00:46:47
maintainer
docs_urlNone
author
requires_python>=3.7
licenseApache-2.0
keywords pet pharmacokinetic analysis reference input-based modelling
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            NiftyPAD
========

Neuroimaging for the Prevention of Alzheimer's Disease.

|DOI| |Licence|

A novel Python package for quantitative analysis of dynamic PET data.

.. image:: https://raw.githubusercontent.com/JJiao/NiftyPAD/master/images/Fig1.jpg

.. |DOI| image:: https://img.shields.io/badge/doi-10.1007/s12021--022--09616--0-blue
   :target: https://doi.org/10.1007/s12021-022-09616-0
.. |Licence| image:: https://img.shields.io/pypi/l/niftypad.svg?label=licence
   :target: https://github.com/AMYPAD/NiftyPAD/blob/master/LICENSE

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "niftypad",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.7",
    "maintainer_email": "Casper da Costa-Luis <imaging@cdcl.ml>",
    "keywords": "PET,Pharmacokinetic analysis,Reference input-based modelling",
    "author": "",
    "author_email": "Jieqing Jiao <jieqing.jiao@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/9c/00/ebcfecea03ba3a19c738cb9167b305613f96e516f58881fca211c5458113/niftypad-2.0.0.tar.gz",
    "platform": null,
    "description": "NiftyPAD\n========\n\nNeuroimaging for the Prevention of Alzheimer's Disease.\n\n|DOI| |Licence|\n\nA novel Python package for quantitative analysis of dynamic PET data.\n\n.. image:: https://raw.githubusercontent.com/JJiao/NiftyPAD/master/images/Fig1.jpg\n\n.. |DOI| image:: https://img.shields.io/badge/doi-10.1007/s12021--022--09616--0-blue\n   :target: https://doi.org/10.1007/s12021-022-09616-0\n.. |Licence| image:: https://img.shields.io/pypi/l/niftypad.svg?label=licence\n   :target: https://github.com/AMYPAD/NiftyPAD/blob/master/LICENSE\n",
    "bugtrack_url": null,
    "license": "Apache-2.0",
    "summary": "Neuroimaging for the Prevention of Alzheimer's Disease",
    "version": "2.0.0",
    "project_urls": {
        "changelog": "https://github.com/AMYPAD/NiftyPAD/releases",
        "documentation": "https://github.com/AMYPAD/NiftyPAD/#NiftyPAD",
        "repository": "https://github.com/AMYPAD/NiftyPAD"
    },
    "split_keywords": [
        "pet",
        "pharmacokinetic analysis",
        "reference input-based modelling"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6ad2cbb3a511944086c318554b53f504947c53dabe411393c38013d13349317d",
                "md5": "c13e9044ea61b2d206afc8455a03f6fb",
                "sha256": "12729e53e2f055b6cc9e470b62c19dde8309162fbb020e1e6654dff6a532fbea"
            },
            "downloads": -1,
            "filename": "niftypad-2.0.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "c13e9044ea61b2d206afc8455a03f6fb",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.7",
            "size": 24294,
            "upload_time": "2023-06-21T00:46:45",
            "upload_time_iso_8601": "2023-06-21T00:46:45.077051Z",
            "url": "https://files.pythonhosted.org/packages/6a/d2/cbb3a511944086c318554b53f504947c53dabe411393c38013d13349317d/niftypad-2.0.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "9c00ebcfecea03ba3a19c738cb9167b305613f96e516f58881fca211c5458113",
                "md5": "d6eac2f2a4f6aafa8c4b210872ba4401",
                "sha256": "fe9b9cbdcc3c6fa08dba63198dd49732db67b6f4fe697152c776e3c9dde452aa"
            },
            "downloads": -1,
            "filename": "niftypad-2.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "d6eac2f2a4f6aafa8c4b210872ba4401",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.7",
            "size": 1544120,
            "upload_time": "2023-06-21T00:46:47",
            "upload_time_iso_8601": "2023-06-21T00:46:47.346178Z",
            "url": "https://files.pythonhosted.org/packages/9c/00/ebcfecea03ba3a19c738cb9167b305613f96e516f58881fca211c5458113/niftypad-2.0.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-06-21 00:46:47",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "AMYPAD",
    "github_project": "NiftyPAD",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "niftypad"
}
        
Elapsed time: 0.10250s