Apache ECharts is a powerful, interactive charting and data visualization library for browser
Repository Index
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:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML and CSV into interactive graphs.
Interactive Data Visualization in the browser, from Python
The interactive graphing library for Python :sparkles:
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
📊 Interactive JavaScript Charts built on SVG
Learning Convolutional Neural Networks with Interactive Visualization.
🛰️ Represent any GraphQL API as an interactive graph
📱📈An elegant, interactive and flexible charting library for mobile.
Gephi - The Open Graph Viz Platform
🔥 JavaScript Library for HTML5 canvas based heatmaps
Automate code & data workflows with interactive Elixir notebooks
A concise grammar of interactive graphics, built on Vega.
A proven SVG-based JavaScript diagramming library powering exceptional UIs
Interactive visualizations of time series using JavaScript and the HTML canvas tag
napari: a fast, interactive, multi-dimensional image viewer for python
:dango: An interactive and responsive charting library based on G2.
An extensible framework for linking databases and interactive views.
R package for web-based interactive topic model visualization.
Interactive, source-linked ML workflow diagrams written by your coding assistant (Copilot, Codex or Claude Code) and opened in VS Code.
Plotly for C++. A C++ interface to the Plotly.js figure spec, for creating interactive data visualizations.
Various algorithms visualized interactively on the web, entirely with Rust 🦀
Modern, interactive charts for Jupyter notebooks with Apache ECharts