head to head · open source
Apache Superset vs DeepBI
Apache Superset has 75,392 GitHub stars, 18,572 forks, 588 open issues and last shipped yesterday. DeepBI has 2,383 stars, 372 forks, 71 open issues and last shipped 2 months ago. Apache Superset leads on adoption by 3,064% (75,392 vs 2,383 stars). Apache Superset is written in Python under Apache-2.0; DeepBI is written in Python under MIT. Apache Superset has attracted 25% as many forks as stars, DeepBI 16%. Apache Superset was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (bi), 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.
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Side by side
| Apache Superset | DeepBI | |
|---|---|---|
| GitHub stars | ★ 75K | ★ 2.4K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-08-28 |
| Forks | ⑂ 19K | ⑂ 372 |
| 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
pick DeepBI if
- You want the DeepBI feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and DeepBI fits your workflow better
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 DeepBI
DeepBI DeepBI is an AI native data analysis platform. DeepBI leverages the power of large language models to explore, query, visualize, and share data from any data source. Users can use DeepBI to gain data insight and make data driven decisions. Languages： English 中文 Developer：dev@deepbi.com Business：hi@deepbi.com If you think DeepBI is helpful to you, please help by clicking here on the ⭐ Star and Fork in the upper right corner. Your support is the greatest driving force for DeepBI to become better. Video example user manual DeepBI user manual ✨ Features 1 Conversational data analysis: Users can get arbitrary…
read the full DeepBI overview →
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Frequently asked questions
Is Apache Superset or DeepBI more popular?
Apache Superset has 75,392 GitHub stars and DeepBI has 2,383. Apache Superset has the larger community by that measure.
Are Apache Superset and DeepBI free?
Both are open source. Apache Superset is licensed under Apache-2.0 and DeepBI under MIT. Neither carries a licence fee.
What is the difference between Apache Superset and DeepBI?
Apache Superset is written in Python and DeepBI 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 DeepBI?
Choose Apache Superset if you want the larger community (75,392 stars) or its Apache-2.0 licence terms. Choose DeepBI if its feature set, stack or MIT licence fits better. Both are self-hostable.