Echarts

ECharts is a JavaScript data visualization library and web charting framework used to render interactive 2D and 3D data plots within a web browser. It functions as a visualization engine that transforms raw data into customizable charts and graphs.

The project includes a WebGL-based hardware acceleration engine specifically for producing three-dimensional plots and globe visualizations. This allows the library to handle large and complex datasets through GPU-accelerated rendering.

The framework supports both canvas-based raster rendering and SVG-based vector rendering. It provides capabilities for interactive data visualization and web analytics dashboarding, utilizing an event-driven interaction system to allow users to explore datasets directly in the browser.

Features

Interactive Data Charting - Provides a comprehensive suite for transforming complex datasets into interactive visual charts and graphs.

Three-Dimensional Visualizations - Enables the creation of three-dimensional plots and globes to represent complex spatial or volumetric data.

Data Visualization Libraries - Functions as a modular library for rendering interactive charts and complex data visualizations in the browser.

3D Engines - Ships a hardware-accelerated 3D engine optimized for producing complex plots and globe visualizations.

3D Scene Renderers - Includes hardware-accelerated graphics pipelines for rendering 3D plots and globe visualizations.

WebGL & GPU Rendering - Utilizes WebGL and GPU rendering to offload 3D calculations and large-scale point cloud visualizations.

Charting Frameworks - Provides a comprehensive engine for the programmatic rendering of customizable 2D and 3D data plots.

Browser-Based Charting Libraries - Renders a wide variety of customizable data visualizations using canvas or SVG for web browser delivery.

Analytics Dashboards - Provides the building blocks for designing web-based interfaces to monitor and analyze business or technical metrics.

Canvas Rendering Engines - Implements a rendering engine that translates vector-based chart data into pixel-based images on HTML5 canvas elements.

SVG-Based Vector Rendering - Supports SVG-based vector rendering to generate scalable graphics as XML elements for crisp scaling and DOM interaction.

Abstraction-Layer Rendering Backends - Employs an abstraction layer via ZRender to decouple scene logic from specific canvas or SVG rendering backends.

Event-Driven Interaction Handlers - Provides an event-driven interaction system that translates raw mouse and touch inputs into specific chart actions.

Declarative Mapping Engines - Uses a declarative mapping engine to bind JSON configuration options to visual chart aesthetics.

Data Visualization - Enterprise-grade charting library.

Charting Libraries - Powerful and comprehensive browser-based visualization engine.

JavaScript Charting - Highly customizable and interactive charts for large datasets.

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Features

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