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        "author": "Jeremy Jacobs",
        "author_email": "pub@j4c0bs.net",
        "bugtrack_url": null,
        "classifiers": [
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Bio-Informatics",
            "Topic :: Utilities"
        ],
        "description": "xfcs dashboard\n==============\n\nCreate interactive plots for FCS file metadata (3.0, 3.1).\n\nMetadata plots are generated as a self contained html file.\nMultiple display options are provided to hide or show parameters, calculated mean values, and customized time range.\nBy default, all numeric parameters located will be displayed. Parameters displayed can be located on the right side of the plot.\nTo hide (or display) a parameter, click on its name.\nTo hide all except one parameter, double click on its name.\n\n\nInstallation\n------------\n\nUsing pip:\n\n::\n\n    pip install xfcsdashboard\n\nWithout pip:\n\n::\n\n    python setup.py install\n\n\nCommand Line Usage\n------------------\n\nFor stand alone usage:\n::\n\n    xfcsdashboard -i <metadata.csv>\n\n\nUsed in combination with metadata extraction in xfcs (requires xfcs installed):\n::\n\n    xfcsmeta [--options] --dashboard\n\n\nRequirements\n------------\n\n- Python 3.5 or greater\n- pandas\n- plotly\n\n\nLicense\n-------\n\nxfcsdashboard is released under the BSD 2-clause license. See\n`LICENSE <https://raw.githubusercontent.com/j4c0bs/xfcsdashboard/master/LICENSE.txt>`_\nfor details.",
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        "keywords": "FCS FCS3.0 FCS3.1 flow cytometry dashboard",
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