Interactive Data Visualization in the browser, from Python

Panel: The powerful data exploration & web app framework for Python

Voilà turns Jupyter notebooks into standalone web applications

Shiny for Python

Data Apps & Dashboards for Python. No JavaScript Required.

Turns Data and AI algorithms into production-ready web applications in no time.

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

☄️ High performance, easy to use and feature-rich Solana SDK for Python.

♾ A Graph Visualization Framework in JavaScript.

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

📊 Interactive JavaScript Charts built on SVG

Modular data visualization framework for React, Angular, Svelte, Vue, and vanilla TypeScript or JavaScript

Visualize Your Ideas With Code

🎥 Make videos programmatically with React

Easily embed, cluster and semantically label text datasets

Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Automatically visualize your pandas dataframe via a single print! 📊 💡

Open-source Javascript Pivot Table (aka Pivot Grid, Pivot Chart, Cross-Tab) implementation with drag'n'drop.

Draw datasets from within Jupyter.

A command line tool that draw plots on the terminal.

Virtual whiteboard for sketching hand-drawn like diagrams

JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.

💫 Display dynamic, automatically organised, customizable network views.

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.

A visualization grammar.

🕸 WebGL Graph Visualizations for React. Maintained by @goodcodeus.

Powerful and versatile visualization for Python.

Database diagrams editor that allows you to visualize and design your DB with a single query.