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        "description": "![Python 3.5](https://img.shields.io/badge/Python-3.5-blue.svg)\n![License](https://img.shields.io/badge/License-BSD%202--Clause-orange.svg)\n[![Build Status](https://travis-ci.org/CamilleMo/SuperSight.svg?branch=master)](https://travis-ci.org/CamilleMo/SuperSight)\n\n![logo](https://s3.eu-central-1.amazonaws.com/camo-bucket/logo_small.svg)\n\n# Why SuperSight ?\n\nA few months ago I set up a data pipeline within the AWS ecosystem. The final step was to refresh dashboards regularly on QuickSight. Coming from Matplotlib and its unlimited power it was quite frustrating not to be able to design the very plot I had in mind. Notebooks are great for low level work but perhaps not for showing off results to top managers. SuperSight is designed to fill the gap between notebooks and commercial business intelligence tools.\n\n# Install\n\n`pip install supersight`  \nOr clone the supersight folder and import it directly in your script(Jinja2 has to be installed).\n\n# Quickstart\n\nCheck the live demo [here](http://supersight-demo.s3-website.eu-central-1.amazonaws.com/index.html).\n\nCheck the notebook used to generate this demo [here](https://nbviewer.jupyter.org/github/CamilleMo/SuperSight/blob/master/SuperSight_Intro.ipynb)\n\n# Customizable\n\nEverything you see in the demo can easily be overridden to let you build a white-labeled website.  \nYou can also build your own template starting from the plain vanilla Bootstrap 4 included by default.  \n  \nMathJax.js and Gutenberg CSS are included by default via CDN. You can also remove these libraries and add libraries you may need using a custom template.\n\n# Changelog\n2017-05-30 : Prepared the field for tests.\n2017-05-29 : Added a way to display styled Pandas dataframes. Users can now use df.style.\n2017-05-20 : Fix a problem with pip install. The template was not included because include_package_data was not in setup.py.  \n2017-04-22 : A Documentation is now available.  \n2017-04-22 : Plots open in modal on click.",
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        "license": "Copyright (c) 2017, Camille Moatti\n\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:\n\nRedistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.\nRedistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.",
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