On this site you will learn data visualization with Python. You will find code examples of Python graphs made with matplotlib, seaborn, plotly and other packages

pyecharts is a wrapper around echarts, a library developped by Baidu [...] the gallery, it is quite impressive.
The Python wrapper used some technics such as modules to automatically converts Python code into Javascript: javascripthon.

Simple charts based on jQuery & Raphaël

GitHub-inspired simple and modern charts for the web with zero dependencies.

NVD3 Re-usable charts for d3.js This project is an attempt to build re-usable charts and chart components for d3.js without taking away the power …

Plotly's JavaScript graphing library, Plotly.js, is now Open-source and Free

D3 based reusable chart library

Highcharts - Interactive JavaScript charts for your web pages.

In this article, Gion Kunz explains how to use Chartist to create your own beautiful responsive charts. You’ll learn some key concepts of Chartist, how to easily extend it and also some advanced features, like responsive configuration overrides and the animation API.

Only 10KB (gzip) with no dependencies!

A new way to share data

A simple tutorial to teach you how to embed JavaScript chart libraries into an IPython Notebook.

Punchcard - Generate GitHub-style punchcard charts with ease.

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