apache/echarts

Apache ECharts is a feature-rich, open-source data visualization library for the browser. It solves the challenge of turning complex datasets into clear, interactive charts and graphs on web pages, with support for a much wider range of chart types and customization options than simpler libraries. The way it works is through a declarative configuration approach: you describe the chart you want using a JavaScript options object, specifying the chart type, your data, axis labels, colors, tooltip behavior, animation settings, and more, and ECharts renders it onto the page using either the HTML canvas element or SVG (a vector graphics format). The library handles all the rendering, interactivity (hover effects, zooming, selection), and animation internally. ECharts is built on top of an internal canvas rendering engine called zrender, which it maintains separately. The chart type coverage is extensive: line charts, bar charts, pie charts, scatter plots, heatmaps, tree diagrams, geographic maps, Sankey diagrams, parallel coordinate plots, candlestick charts for financial data, and many more. Charts are interactive by default, users can zoom, pan, toggle data series, and inspect individual data points. An extension called ECharts GL adds 3D charts and WebGL-accelerated rendering for very large datasets. You would use ECharts when building data dashboards, analytics interfaces, business reports, scientific visualizations, or any web application where you need polished, interactive data visualization with more depth than simpler charting tools provide. It is particularly popular in Asian markets and widely used in enterprise applications. ECharts installs via npm, can be loaded from a CDN, or downloaded directly from the official website. The codebase is written in TypeScript and runs in any modern browser.