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            "Operating System :: Microsoft :: Windows",
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        "description": "===========\nFinish Line\n===========\n\nFinish Line is a framework for quickly building beautiful customizable dashboards in Plotly Dash.\nThe framework provides utility for developers to easily plugin new interactive visualization\ncomponents into the dashboard. Components are automatically added to the dashboard using a responsive\ngrid layout.\n\n----------------------\nHow to use Finish Line\n----------------------\n\nAn example use of the framework is located in the GitHub repo under the ``example`` directory. The\nfollowing shows the minimum code required to start a Finish Line dashboard server.\n\n.. code:: python\n\n    from finishline import FinishLine\n    import dash\n\n    app = dash.Dash()\n    data = load_my_data()\n\n    fl = FinishLine(app=app, data=data)\n    fl.load_plugins()\n    app.layout = fl.generate_layout()\n\n    if __name__ == '__main__':\n        fl.run_server(debug=True, port=5000, host='0.0.0.0')\n\nVisualization components are loaded from the ``plugins`` folder. The default location is in a folder\ncalled ``plugins`` in the current working directory (directory the web server is started). Individual\nplugins are located in subfolders under the ``plugins`` folder. The entry point to a plugin is in the\nfile ``__init__.py``.\n\nHere is an example component. The code is placed in ``./plugins/HelloWorld/__init__.py``\n\n.. code:: python\n\n    import dash_html_components as html\n    import dash_core_components as dcc\n\n    def initialize(app, data, fl):\n\n        fl.register_vis(\n            'HelloWorld',\n            dcc.Graph(\n                id='basic-chart',\n                figure={\n                    'data': [\n                        {\n                            'x': [1, 2, 3, 4],\n                            'y': [4, 1, 3, 5],\n                            'text': ['a', 'b', 'c', 'd'],\n                            'customdata': ['c.a', 'c.b', 'c.c', 'c.d'],\n                            'name': 'Trace 1',\n                            'mode': 'markers',\n                            'marker': {'size': 12}\n                            },\n                        {\n                            'x': [1, 2, 3, 4],\n                            'y': [9, 4, 1, 4],\n                            'text': ['w', 'x', 'y', 'z'],\n                            'customdata': ['c.w', 'c.x', 'c.y', 'c.z'],\n                            'name': 'Trace 2',\n                            'mode': 'markers',\n                            'marker': {'size': 12}\n                            }\n                        ]\n                    },\n                config={\n                    'autosizable': True\n                    }\n                )\n        )\n\n    def finalize(app, data, fl):\n        pass\n\n\n------------\nInstallation\n------------\n\nFinish Line depends upon ``dash``. Note, we have only tested with ``python3``.\n\nRequirements:\n\n* dash\n* dash-responsive-grid-layout\n\n**Install Options**\n\n.. code:: bash\n\n    pip3 install finishline\n\n\n------------\nBuild\n------------\n\n**Create distribution**\n\n* edit setup.py and change version number\n\n.. code:: bash\n\n    python3 setup.py sdist bdist_wheel\n\n**Install distribution locally**\n\n.. code:: bash\n\n    pip3 uninstall finishline\n    pip3 install dist/finishline-VERSION-py3-none-any.whl\n\n**Push to test pip**\n\n.. code:: bash\n\n    twine upload --repository-url https://test.pypi.org/legacy/ dist/*VERSION*\n    pip3 install -U --index-url https://test.pypi.org/simple/ finishline\n\n**Push to production pip**\n\n.. code:: bash\n\n    twine upload dist/*VERSION*\n    pip3 install -U finishline\n\n\n--------\nFeatures\n--------\n\n* Client and server side data store API\n* Plugin visualization component API\n* Responsive grid layout\n* Customizable grid layout via drag and drop\n* Developer mode\n\n----------\nTo Do List\n----------\n\n* Save layout\n* Reusable components API\n* Hide/Show components\n* Support multiple pages\n* Better support for resizing plotly charts\n\n\n",
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        "license": "MIT",
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