head to head · open source

Apache Superset vs dash

Apache Superset has 75,387 GitHub stars, 18,570 forks, 588 open issues and last shipped 2 days ago. dash has 24,475 stars, 2,332 forks, 480 open issues and last shipped 4 days ago. Apache Superset leads on adoption by 208% (75,387 vs 24,475 stars). Apache Superset is written in Python under Apache-2.0; dash is written in Python under MIT. Apache Superset has attracted 25% as many forks as stars, dash 10%. Apache Superset was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (data-science, 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.

Apache Superset ★ 75K dash ★ 24K category Data & Analytics

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Side by side

Apache Superset dash
GitHub stars ★ 75K ★ 24K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-11-01 2026-10-30
Forks ⑂ 19K ⑂ 2.3K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Apache Superset if

  • You weight community size — 75K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Apache Superset 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 Apache Superset

Superset A modern, enterprise ready business intelligence web application. Documentation User Guide — For analysts and business users. Explore data, build charts, create dashboards, and connect databases. Administrator Guide — Install, configure, and operate Superset. Covers security, scaling, and database drivers. Developer Guide — Contribute to Superset or build on its REST API and extension framework. Why Superset? Supported Databases Release Notes Get Involved Resources Organizations Using Superset Why Superset? Superset is a modern data exploration and data visualization platform. Superset can replace or…

read the full Apache Superset overview →

About dash

Dash Dash is the most downloaded, trusted Python framework for building ML & data science web apps . Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial (proudly crafted ❤️ with Dash itself). Docs: Create your first Dash app in under 5 minutes dash.gallery: Dash app gallery with Python & R code Dash App Examples To learn more about Dash, read the extensive announcement letter or jump in with the user guide. Dash OSS & Dash Enterprise With Dash Open Source, Dash apps run on your local laptop or…

read the full dash overview →

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Frequently asked questions

Is Apache Superset or dash more popular?

Apache Superset has 75,387 GitHub stars and dash has 24,475. Apache Superset has the larger community by that measure.

Are Apache Superset and dash free?

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

What is the difference between Apache Superset and dash?

Apache Superset is written in Python 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, Apache Superset or dash?

Choose Apache Superset if you want the larger community (75,387 stars) or its Apache-2.0 licence terms. Choose dash if its feature set, stack or MIT licence fits better. Both are self-hostable.