{
    "info": {
        "author": "Uwe Schmitt",
        "author_email": "schmitt@num.uni-sb.de",
        "bugtrack_url": null,
        "classifiers": [
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Physics"
        ],
        "description": "Savitzky-Golay-Smoothers are linear filters which smooth data or compute a\r\nsmoothed derivative of given order and preserve peaks and other important\r\nfeatures of the underlying signal.",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "http://www.procoders.net/?p=11",
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        "home_page": "http://www.procoders.net/?p=11",
        "keywords": "math, datamining, machine learning, signal processing",
        "license": "BSD",
        "maintainer": "",
        "maintainer_email": "schmitt@procoders.net",
        "name": "Savitzky-Golay-Filters",
        "package_url": "https://pypi.org/project/Savitzky-Golay-Filters/",
        "platform": "",
        "project_url": "https://pypi.org/project/Savitzky-Golay-Filters/",
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            "Homepage": "http://www.procoders.net/?p=11"
        },
        "release_url": "https://pypi.org/project/Savitzky-Golay-Filters/1.0/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Savitzky Golay Filters for smoothing functions",
        "version": "1.0"
    },
    "last_serial": 710333,
    "releases": {
        "1.0": []
    },
    "urls": []
}