{"repo":"dschenck/easychart","free":true,"listed":false,"github":"https://github.com/dschenck/easychart","clone":"git clone https://github.com/dschenck/easychart.git","description":"Highcharts meets Python in your jupyter notebook","language":"Python","stars":19,"topics":["highcharts","jupyter","jupyter-notebook","data-visualization","dataviz","plotting"],"license":"MIT","category":"analytics","readme_excerpt":"easychart highcharts meets python in your Jupyter notebook Getting started Installing easychart is easy with pip Open a new Jupyter notebook Documentation Complete documentation is hosted on read the docs. Have a look at one of the 25+ example charts.","default_branch":null,"files":null,"tree":[],"storefront":"/r/dschenck","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/dschenck/easychart/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}