Learn how Apache Superset 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.
Last 30 days
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Repository age
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Self-hosted
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Last 30 days
Last commit
Repository age
Version
Self-hosted
Repository

Both Apache Superset and Metabase have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Apache Superset leads in popularity with 74,247 stars vs 48,727 stars for Metabase. The 52% higher star count indicates stronger community adoption. In terms of developer contributions, Apache Superset has 18,098 forks, indicating strong developer engagement.
Metabase is growing faster, adding 526 stars in the last 30 days (+1.1%) against adding 419 stars for Apache Superset (+0.6%). Metabase is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Apache Superset last updated 58 minutes ago and Metabase 50 minutes ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Apache Superset uses Python while Metabase leverages Clojure.
Both projects started around the same time, with Apache Superset beginning 11 years ago and Metabase 12 years ago.
Apache Superset 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 Apache Superset and Metabase offer self-hosting capabilities, giving you full control over your data and infrastructure.
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