head to head · open source
Apache Superset vs datalens
Apache Superset has 75,392 GitHub stars, 18,572 forks, 588 open issues and last shipped yesterday. datalens has 1,708 stars, 119 forks, 53 open issues and last shipped 2 months ago. Apache Superset leads on adoption by 4,314% (75,392 vs 1,708 stars). Apache Superset is written in Python under Apache-2.0; datalens is written in PLpgSQL under Apache-2.0. Apache Superset has attracted 25% as many forks as stars, datalens 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 (analytics, bi, business-intelligence), 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 | datalens | |
|---|---|---|
| GitHub stars | ★ 75K | ★ 1.7K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | PLpgSQL |
| Last push | 2026-11-02 | 2026-08-24 |
| Forks | ⑂ 19K | ⑂ 119 |
| 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 datalens if
- You want the datalens feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches PLpgSQL
- You evaluated both and datalens 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 datalens
DataLens · DataLens is a modern business intelligence and data visualization system. It was developed and extensively used as a primary BI tool in Yandex and is also available as a part of Yandex Cloud platform. See also our roadmap, releases notes and community in telegram. Getting started Installing Docker DataLens requires Docker to be installed. Follow these instructions depending on the platform you use: macOS Linux Windows Note about Docker Compose: The new Docker Compose plugin is available as the docker compose v2 package on Ubuntu 20.04/22.04/24.04 from the base APT repository. The minimal…
read the full datalens overview →
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Frequently asked questions
Is Apache Superset or datalens more popular?
Apache Superset has 75,392 GitHub stars and datalens has 1,708. Apache Superset has the larger community by that measure.
Are Apache Superset and datalens free?
Both are open source. Apache Superset is licensed under Apache-2.0 and datalens under Apache-2.0. Neither carries a licence fee.
What is the difference between Apache Superset and datalens?
Apache Superset is written in Python and datalens in PLpgSQL. 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 datalens?
Choose Apache Superset if you want the larger community (75,392 stars) or its Apache-2.0 licence terms. Choose datalens if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.