everest-pipeline


Nameeverest-pipeline JSON
Version 2.0.12 PyPI version JSON
download
home_pagehttp://github.com/rodluger/everest
SummaryEPIC Variability Extraction and Removal for Exoplanet Science Targets
upload_time2019-08-12 13:28:09
maintainer
docs_urlNone
authorRodrigo Luger
requires_python
licenseMIT
keywords
VCS
bugtrack_url
requirements numpy scipy matplotlib george six pyfits pysyzygy k2plr PyPDF2
Travis-CI
coveralls test coverage No coveralls.
            
EPIC Variability Extraction and Removal for Exoplanet Science Targets:
A pipeline for de-trending `K2`, `Kepler`, and `TESS` light curves with
pixel level decorrelation and Gaussian processes. The Python interface
allows easy access to the online EVEREST de-trended light curve catalog;
alternatively, users can de-trend their own light curves with customized
settings. Read the documentation at https://github.com/rodluger/everest



            

Raw data

            {
    "_id": null,
    "home_page": "http://github.com/rodluger/everest",
    "name": "everest-pipeline",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "",
    "author": "Rodrigo Luger",
    "author_email": "rodluger@uw.edu",
    "download_url": "",
    "platform": "",
    "description": "\nEPIC Variability Extraction and Removal for Exoplanet Science Targets:\nA pipeline for de-trending `K2`, `Kepler`, and `TESS` light curves with\npixel level decorrelation and Gaussian processes. The Python interface\nallows easy access to the online EVEREST de-trended light curve catalog;\nalternatively, users can de-trend their own light curves with customized\nsettings. Read the documentation at https://github.com/rodluger/everest\n\n\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "EPIC Variability Extraction and Removal for Exoplanet Science Targets",
    "version": "2.0.12",
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "c2e4afdb3d229fcc8169a1a9b0207e22",
                "sha256": "89007a26b647bf0346219f0624a8dcf3d909f8efa4600bf4ff76a10b4c368854"
            },
            "downloads": -1,
            "filename": "everest_pipeline-2.0.12-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "c2e4afdb3d229fcc8169a1a9b0207e22",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 22900978,
            "upload_time": "2019-08-12T13:28:09",
            "upload_time_iso_8601": "2019-08-12T13:28:09.794501Z",
            "url": "https://files.pythonhosted.org/packages/8b/de/ea8b478c04d3d0a4de12393708554f980d80db9f6771f953342d06f13d01/everest_pipeline-2.0.12-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2019-08-12 13:28:09",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "rodluger",
    "github_project": "everest",
    "travis_ci": true,
    "coveralls": false,
    "github_actions": false,
    "requirements": [
        {
            "name": "numpy",
            "specs": []
        },
        {
            "name": "scipy",
            "specs": []
        },
        {
            "name": "matplotlib",
            "specs": []
        },
        {
            "name": "george",
            "specs": []
        },
        {
            "name": "six",
            "specs": []
        },
        {
            "name": "pyfits",
            "specs": []
        },
        {
            "name": "pysyzygy",
            "specs": []
        },
        {
            "name": "k2plr",
            "specs": []
        },
        {
            "name": "PyPDF2",
            "specs": []
        }
    ],
    "lcname": "everest-pipeline"
}
        
Elapsed time: 0.02100s