Echarts
by apache
Enterprise-Grade Interactive Charts for Modern Web Apps
Build stunning, responsive data visualizations with 20+ chart types, canvas/SVG rendering, and extensive customization for any web project.
- 65,444+ GitHub stars
- Built with TypeScript
- 20+ chart types including line, bar, scatter, pie, candlestick, heatmap, and geographic maps
- Apache License 2.0 license
About This Project
Apache ECharts transforms raw data into compelling visual stories through a comprehensive JavaScript library that handles everything from simple line graphs to complex geographic heatmaps. With over 20 chart types out of the box, developers can rapidly prototype dashboards, analytics platforms, and data-driven applications without wrestling with low-level rendering details.
Performance meets flexibility through dual rendering enginesβCanvas for handling massive datasets with thousands of data points, and SVG for crisp, scalable graphics that shine on high-DPI displays. The library intelligently switches between modes based on your data volume, ensuring smooth interactions even when visualizing real-time streams or large historical datasets.
What sets ECharts apart is its declarative configuration approach combined with extensive theming capabilities. Define your charts using intuitive JSON-like options, then customize every visual element from color palettes to animation curves. The built-in responsive system automatically adapts layouts across devices, while progressive rendering keeps your UI responsive during heavy computations.
Backed by the Apache Software Foundation, ECharts benefits from enterprise-grade reliability, regular security updates, and a thriving ecosystem of extensions. Whether you're building financial dashboards, IoT monitoring tools, or business intelligence platforms, the library's comprehensive documentation and active community support accelerate development from prototype to production.
Key Features
- 20+ chart types including line, bar, scatter, pie, candlestick, heatmap, and geographic maps
- Dual rendering with Canvas for performance and SVG for precision and scalability
- Declarative configuration system with extensive customization options
- Built-in responsive design and mobile touch interaction support
- Progressive rendering and data sampling for handling millions of data points
- Rich interaction features including zooming, brushing, tooltips, and data filtering
- Comprehensive theming system with light/dark modes and custom palettes
- TypeScript support with full type definitions for enhanced developer experience
How You Can Use It
Real-time monitoring dashboards for IoT devices and system metrics
Business intelligence platforms with interactive sales and financial reports
Data analytics tools for exploring large datasets with drill-down capabilities
Geographic visualization for mapping demographic, weather, or logistics data
Scientific research applications requiring complex statistical chart combinations
E-commerce analytics showing user behavior, conversion funnels, and trends
Who Is This For?
Frontend developers, data visualization engineers, product teams building analytics platforms, and enterprises requiring production-ready charting solutions