head to head · open source

echarts vs dash

echarts has 67,345 GitHub stars, 19,820 forks, 1,501 open issues and last shipped 2 days ago. dash has 24,411 stars, 2,314 forks, 480 open issues and last shipped yesterday. echarts leads on adoption by 176% (67,345 vs 24,411 stars). echarts is written in TypeScript under Apache-2.0; dash is written in Python under MIT. echarts has attracted 29% as many forks as stars, dash 9%. dash was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (data-visualization), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

echarts ★ 67K dash ★ 24K category Data & Analytics

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Side by side

echarts dash
GitHub stars ★ 67K ★ 24K
License Apache-2.0 MIT
Written in TypeScript Python
Last push 2026-09-16 2026-09-17
Forks ⑂ 20K ⑂ 2.3K
Self-hosting Yes Yes
Data ownership Your server Your server

pick echarts if

  • You weight community size — 67K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full echarts profile →

pick dash if

  • You want the dash feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and dash fits your workflow better

full dash profile →

About echarts

Apache ECharts is a free, interactive charting and data visualization library that runs in the browser. It is written in pure JavaScript and built on top of zrender, a lightweight canvas library that handles rendering and interaction under the hood. The project lives in the JavaScript and TypeScript ecosystem, is distributed through npm as the echarts package, and is developed under the Apache Software Foundation with an Apache 2.0 license. Its source is written in TypeScript, and the repository has been maintained for more than a decade.

read the full echarts overview →

About dash

Dash is an open source Python framework for building analytical web applications, data apps, and dashboards without writing JavaScript, aimed at data scientists, analysts, and machine learning engineers who want to turn Python code into interactive browser interfaces.

read the full dash overview →

More in Data & Analytics

Mermaid ★ 90K Crawl4AI ★ 84K Scrapling ★ 82K Apache Superset ★ 75K scrapy ★ 64K ClickHouse ★ 50K

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More Business Intelligence & Reporting projects

Compare either of these against the rest of the Business Intelligence & Reporting field.

echarts vs Mermaid echarts vs Apache Superset echarts vs Metabase echarts vs pixijs echarts vs diagram-design echarts vs Redash echarts vs dataease echarts vs plotly.js echarts vs deck.gl echarts vs G6 echarts vs sigma.js echarts vs Evidence

Frequently asked questions

Is echarts or dash more popular?

echarts has 67,345 GitHub stars and dash has 24,411. echarts has the larger community by that measure.

Are echarts and dash free?

Both are open source. echarts is licensed under Apache-2.0 and dash under MIT. Neither carries a licence fee.

What is the difference between echarts and dash?

echarts is written in TypeScript and dash in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, echarts or dash?

Choose echarts if you want the larger community (67,345 stars) or its Apache-2.0 licence terms. Choose dash if its feature set, stack or MIT licence fits better. Both are self-hostable.