Learn how **Azimutt ** 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
License
Repository

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

Metabase appears to have several advantages over **Azimutt **, particularly in popularity, growth, maturity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Metabase significantly outpaces **Azimutt ** in community adoption with 49,230 stars compared to 2,177 stars on GitHub. This 22.6x difference suggests Metabase has a much larger and more active community. In terms of developer contributions, Metabase has 6,815 forks, indicating strong developer engagement.
Metabase is growing faster, adding 471 stars in the last 30 days (+1%) against adding 14 stars for Azimutt ** (+0.6%**). Metabase is both larger and pulling further ahead.
Both projects show recent activity, with **Azimutt ** last updated 19 days ago and Metabase 3 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, JSX. However, they differ in their additional technology choices: **Azimutt ** uses Elixir while Metabase leverages Bash, Clojure.
Metabase has been in development longer, starting 12 years ago, compared to **Azimutt ** which began 5 years ago. This 6.6-year head start suggests Metabase may have more mature features and established processes.
**Azimutt ** is licensed under MIT, while Metabase's license terms are not publicly specified.
Both tools serve similar use cases in Data Visualization. However, they also have distinct specializations: **Azimutt ** also focuses on Database Tools & GUIs while Metabase extends into BI Platforms.
Metabase provides self-hosting options for complete data control and customization, while **Azimutt ** may be primarily cloud-based or require different deployment approaches.