Visualization libraries · Apache Software Foundation

Apache ECharts

JavaScript charting library with a large catalog of built-in chart types and strong performance on large datasets.

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Apache ECharts is a JavaScript charting and visualization library originally developed by Baidu and now an Apache Software Foundation top-level project. It ships with a broad catalog of ready-made chart types — line, bar, scatter, candlestick, radar, sunburst, treemap, and geographic maps — configured through a single declarative options object rather than assembled from low-level primitives. It renders via Canvas or SVG and includes WebGL-backed rendering for large datasets, along with built-in data zoom, brushing, and tooltip interactions. ECharts is commonly used directly in web dashboards or through wrappers such as pyecharts for Python or vue-echarts for Vue, making it a common choice where D3-level flexibility isn't needed but Plotly-style interactivity is.

At a glance

Vendor Apache Software Foundation
Pricing model Open source + paid options
Free tier Yes
Deployment Self-hosted
Open source Yes (Apache-2.0)
Best for Teams building dashboards that need many chart types with less custom code than D3.

Pricing

Free, open-source Apache project with no pricing page.

Pricing has not been verified yet — see the vendor's site.

Features

  • Large catalog of built-in chart types
  • Canvas, SVG, and WebGL rendering
  • Built-in data zoom and brushing interactions
  • Geographic and geo-map visualizations
  • Large-dataset performance optimizations
  • Theming and responsive layout support

Integrations

Profile last reviewed September 21, 2026

Head to head

Alternatives

Plotly Open-source charting libraries for Python, R, and JavaScript producing interactive, zoomable charts with built-in hover and export tools. D3.js JavaScript library for binding data to the DOM and drawing fully custom, interactive visualizations with SVG or Canvas. Highcharts Commercially licensed JavaScript charting library for business and financial dashboards, free only for personal or non-commercial use.

Apache ECharts in the index now

Terms to know

Data visualization Representing data graphically so that patterns, trends and outliers are easier to see than in a table of numbers. Dashboard A visual display of the metrics a team needs to monitor, usually updated on a schedule or in real time.

Related guides

How to choose a visualization library Pick a visualization library by language, how much custom control you need, and whether commercial licensing is worth it — not by demo gallery polish.