head to head · open source
Apache Superset vs datalens
Apache Superset has 74,816 GitHub stars, 18,314 forks, 588 open issues and last shipped yesterday. datalens has 1,702 stars, 117 forks, 53 open issues and last shipped 25 days ago. Apache Superset leads on adoption by 4,296% (74,816 vs 1,702 stars). Apache Superset is written in Python under Apache-2.0; datalens is written in PLpgSQL under Apache-2.0. Apache Superset has attracted 24% 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 | 2026-09-17 | 2026-08-24 |
| Forks | ⑂ 18K | ⑂ 117 |
| 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
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 datalens
DataLens is an Apache 2.0 open source business intelligence and data visualization system. It lives in the data and analytics ecosystem, specifically within business intelligence and reporting, and it covers dashboards, SQL, reporting, and visualization. The project was developed and extensively used as a primary business intelligence tool in Yandex, and it is also available as part of the Yandex Cloud platform.
read the full datalens overview →
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Frequently asked questions
Is Apache Superset or datalens more popular?
Apache Superset has 74,816 GitHub stars and datalens has 1,702. 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 (74,816 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.