Learn how DataLens and Metabase differ in their key features, development activity, technology stack and community adoption, so you can decide which of these data visualization tools is best for you.
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Self-hosted
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Stars
Forks
Last commit
Repository age
Self-hosted
Auto-fetched .

Both DataLens and Metabase have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Metabase significantly outpaces DataLens in community adoption with 46,977 stars compared to 1,672 stars on GitHub. This 28.1x difference suggests Metabase has a much larger and more active community. In terms of developer contributions, Metabase has 6,393 forks, indicating strong developer engagement.
Both projects show recent activity, with DataLens last updated 16 days ago and Metabase 10 hours ago.
Both tools share common technology foundations, being built with JavaScript, Bash. However, they differ in their additional technology choices: DataLens uses Python while Metabase leverages CSS, Typescript, JSX, Clojure.
Metabase has been in development longer, starting 11 years ago, compared to DataLens which began 3 years ago. This 8.8-year head start suggests Metabase may have more mature features and established processes.
DataLens is licensed under Apache-2.0, while Metabase's license terms are not publicly specified.
Both tools serve similar use cases in Data Visualization, BI Platforms.
Both DataLens and Metabase offer self-hosting capabilities, giving you full control over your data and infrastructure.