Learn how Lightdash 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
Last commit
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
Self-hosted
Repository

Both Lightdash 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.
Metabase significantly outpaces Lightdash in community adoption with 48,998 stars compared to 6,105 stars on GitHub. This 8.0x difference suggests Metabase has a much larger and more active community. In terms of developer contributions, Metabase has 6,777 forks, indicating strong developer engagement.
Lightdash is growing faster, adding 105 stars in the last 30 days (+1.8%) against adding 524 stars for Metabase (+1.1%). Lightdash is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Lightdash last updated 6 hours ago and Metabase 7 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Lightdash uses Next.js while Metabase leverages Clojure.
Metabase has been in development longer, starting 12 years ago, compared to Lightdash which began 5 years ago. This 6.2-year head start suggests Metabase may have more mature features and established processes.
Lightdash is licensed under MIT, while Metabase's license terms are not publicly specified.
Both tools serve similar use cases in Data Visualization, BI Platforms. However, they also have distinct specializations: Lightdash also focuses on Semantic Layer Platforms.
Both Lightdash and Metabase offer self-hosting capabilities, giving you full control over your data and infrastructure.