Data Apps & Dashboards for Python. No JavaScript Required.
The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.
Performant financial charts built with HTML5 canvas
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
Interactive plotting library for .NET
Simple, flexible, interactive & powerful charts, maps and gauges for .Net, LiveCharts2 can now practically run everywhere Maui, Uno Platform, Blazor-wasm, WPF, WinForms, Xamarin, Avalonia, WinUI, UWP.
AnyChart Android Chart is an amazing data visualization library for easily creating interactive charts in Android apps. It runs on API 19+ (Android 4.4) and features dozens of built-in chart types.
Instant offline SQL-powered data visualisation in your browser
Library for animated data visualizations and data stories.
Nice-looking lightweight console ASCII line charts ╭┈╯ for NodeJS, browsers and terminal, no dependencies
The most advanced amCharts charting library for JavaScript and TypeScript apps.
JSXGraph is a cross-browser library for interactive geometry, function plotting, charting, and data visualization in a web browser.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
an extensive Qt5 & Qt6 Plotter framework (including a feature-richt plotter widget, a speed-optimized, but limited variant and a LaTeX equation renderer!), written fully in C/C++ and without external dependencies
Quantitative Financial Modelling Framework
The Reporting Engine for Django. Create dashboards and standalone Reports and Charts.
Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
Technical Indicators implemented in Python using Pandas
Add a description, image, and links to the charting topic page so that developers can more easily learn about it.
To associate your repository with the charting topic, visit your repo's landing page and select "manage topics."