head to head · open source
Apache Superset vs Deepnote
Apache Superset has 74,816 GitHub stars, 18,314 forks, 588 open issues and last shipped yesterday. Deepnote has 3,008 stars, 197 forks, 33 open issues and last shipped yesterday. Apache Superset leads on adoption by 2,387% (74,816 vs 3,008 stars). Apache Superset is written in Python under Apache-2.0; Deepnote is written in TypeScript under Apache-2.0. Apache Superset has attracted 24% as many forks as stars, Deepnote 7%. Apache Superset was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (data-analysis, 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.
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Side by side
| Apache Superset | Deepnote | |
|---|---|---|
| GitHub stars | ★ 75K | ★ 3.0K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 18K | ⑂ 197 |
| 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 Deepnote if
- You want the Deepnote feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and Deepnote fits your workflow better
About Apache Superset
Apache Superset is an open source business intelligence platform that enables self serve data exploration and dashboard creation. It runs as a web application and provides tools for analysts and business users to visualize and analyze data without writing complex code, while also offering advanced capabilities for data engineers and developers. Superset lives in the Apache Software Foundation ecosystem and is licensed under Apache 2.0.
read the full Apache Superset overview →
About Deepnote
Deepnote is an open source data notebook for Python, SQL, and AI workflows, positioned as a drop in replacement for Jupyter. The project lives in the Jupyter ecosystem, using a Deepnote kernel that is described as backwards compatible while adding an AI agent, new block types, and native data integrations. It is written in TypeScript and licensed under Apache 2.0, with the repository presenting itself as the local foundation for working before scaling to Deepnote Cloud.
read the full Deepnote overview →
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Frequently asked questions
Is Apache Superset or Deepnote more popular?
Apache Superset has 74,816 GitHub stars and Deepnote has 3,008. Apache Superset has the larger community by that measure.
Are Apache Superset and Deepnote free?
Both are open source. Apache Superset is licensed under Apache-2.0 and Deepnote under Apache-2.0. Neither carries a licence fee.
What is the difference between Apache Superset and Deepnote?
Apache Superset is written in Python and Deepnote in TypeScript. 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 Deepnote?
Choose Apache Superset if you want the larger community (74,816 stars) or its Apache-2.0 licence terms. Choose Deepnote if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.