Python library that makes it easy for data scientists to create charts.

With Holoviews, your data visualizes itself.

Build, present and share animated data stories in Jupyter Notebook and similar environments.

Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.

Cross-filter millions (or even billions) of data entries with no interaction delay

A javascript library that extends D3.js to enable fast and beautiful visualizations.

A node library to display charts in popup windows and save them as pngs. Supports observablehq/plot, vega-lite and plotly out of the box.

Observable Plot on the command line

A repository containing Vega-Lite-API implementations of all of the examples in the Vega-Lite gallery. Work in progress and contributors welcome!

Serverside scaling for Vega and Altair visualizations

Simple HTML5 Charts using the <canvas> tag

A command line tool that draw plots on the terminal.

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

🍡 An interactive and responsive charting library based on G2.

📊 The concise and progressive visualization grammar.

📊 Interactive JavaScript Charts built on SVG

Apache ECharts is a powerful, interactive charting and data visualization library for browser

An extensible framework for linking databases and interactive views.