Ross ROSS = Recommend OSS · open-source software intelligence for agents

apache/echarts

Apache ECharts is a powerful, interactive charting and data visualization library for browser observed · 2026-08-28

github.com/apache/echarts · homepage · TypeScript · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

81/100

  • Activity 96
  • Release rhythm 52
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 253.0
  • age_days: 4900
  • days_rel: 106
  • days_push: 29
  • n_releases_24m: 3

Full methodology

Adoption not part of the score

67154 stars · 19810 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Apache ECharts is a free, open-source JavaScript charting and data visualization library for the browser, built on the ZRender canvas engine. It offers 20+ interactive chart types, Canvas/SVG rendering, dataset-based data transforms, and accessibility features, and is highly customizable for commercial products.

Use cases

  • add interactive charts to a web dashboard
  • render line, bar, and pie charts from a dataset
  • visualize millions of data points in the browser
  • create heatmaps, treemaps, and geographic map visualizations
  • build responsive charts that work on mobile and desktop
  • make accessible charts with automatic descriptions
  • combine multiple chart types in one visualization

When to choose

  • you need a mature, feature-rich charting library with many chart types out of the box
  • you must render very large datasets with progressive rendering
  • you want Canvas and SVG rendering with a switchable engine
  • you need a permissive Apache-2.0 license for commercial products
  • you want built-in accessibility for charts

When to avoid

  • you need server-side static chart images only
  • you want a minimal lightweight chart library with a tiny bundle
  • you are building native mobile apps without a web view
  • you prefer a declarative grammar-based visualization system like Vega-Lite

Facets

library · maturity stable

data-visualization charts frontend-framework ui-components accessibility data-visualization frontend web-development analytics browser cross-platform charting-library canvas svg typescript interactive-charts apache-project big-data-rendering nodejs mobile

6 sources

Member repositories

RepositoryRoleHealth v2
apache/echartsmain81

For agents

markdown · JSON · MCP: product_card(name="apache/echarts")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem