fibphoflow


Namefibphoflow JSON
Version 0.1.8 PyPI version JSON
download
home_page
SummaryPython package to process and visualize TDT fiber photometry data
upload_time2023-06-05 18:16:33
maintainer
docs_urlNone
author
requires_python
licenseMIT License Copyright (c) 2023 nikhayes Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords neuroscience calcium activity fiber photometry data processing
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # fibphoflow
Helloo friendss

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "fibphoflow",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "neuroscience,calcium activity,fiber photometry,data processing",
    "author": "",
    "author_email": "",
    "download_url": "https://files.pythonhosted.org/packages/d4/35/998d60fce74ec00e19a8e7082ba1087daa202cb4947a278d1f6bd06ee51d/fibphoflow-0.1.8.tar.gz",
    "platform": null,
    "description": "# fibphoflow\nHelloo friendss\n",
    "bugtrack_url": null,
    "license": "MIT License  Copyright (c) 2023 nikhayes  Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:  The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.  THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ",
    "summary": "Python package to process and visualize TDT fiber photometry data",
    "version": "0.1.8",
    "project_urls": null,
    "split_keywords": [
        "neuroscience",
        "calcium activity",
        "fiber photometry",
        "data processing"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ccf373b9fc93755bd8286aca8aee7a44e1f43be8a494bc4fecdad8bd95d2f6ea",
                "md5": "797d7b0aa2e84566439b2bdec53ddc57",
                "sha256": "0b1d966f18c5da821ac0b109c2281465b945aa86829ecad948b677f815ce90f9"
            },
            "downloads": -1,
            "filename": "fibphoflow-0.1.8-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "797d7b0aa2e84566439b2bdec53ddc57",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 10953,
            "upload_time": "2023-06-05T18:16:31",
            "upload_time_iso_8601": "2023-06-05T18:16:31.614604Z",
            "url": "https://files.pythonhosted.org/packages/cc/f3/73b9fc93755bd8286aca8aee7a44e1f43be8a494bc4fecdad8bd95d2f6ea/fibphoflow-0.1.8-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "d435998d60fce74ec00e19a8e7082ba1087daa202cb4947a278d1f6bd06ee51d",
                "md5": "62ac4d0d6656417826abf26669cf39dc",
                "sha256": "3427c7104b2cc5841197724203e96621715bd80271f725ca3461e6aecbc75ecd"
            },
            "downloads": -1,
            "filename": "fibphoflow-0.1.8.tar.gz",
            "has_sig": false,
            "md5_digest": "62ac4d0d6656417826abf26669cf39dc",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 10668,
            "upload_time": "2023-06-05T18:16:33",
            "upload_time_iso_8601": "2023-06-05T18:16:33.541657Z",
            "url": "https://files.pythonhosted.org/packages/d4/35/998d60fce74ec00e19a8e7082ba1087daa202cb4947a278d1f6bd06ee51d/fibphoflow-0.1.8.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-06-05 18:16:33",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "fibphoflow"
}
        
Elapsed time: 1.50224s