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 49,602 stars compared to 6,182 stars on GitHub. This 8.0x difference suggests Metabase has a much larger and more active community. In terms of developer contributions, Metabase has 6,892 forks, indicating strong developer engagement.
Lightdash and Metabase are moving at much the same rate, adding 52 stars and adding 420 stars respectively over the last 30 days (+0.8% vs +0.9%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with Lightdash last updated 12 hours ago and Metabase 11 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 6 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.