Databuddy vs Matomo

Matomo significantly outpaces Databuddy in community adoption with 21,979 stars compared to 1,214 stars on GitHub. This 18.1x difference suggests Matomo has a much larger and more active community. In terms of developer contributions, Matomo has 2,921 forks, indicating strong developer engagement.

Databuddy is growing faster, adding 51 stars in the last 30 days (+4.4%) against adding 84 stars for Matomo (+0.4%). Databuddy is the smaller project of the two, so it is closing the gap rather than extending a lead.

Both projects show recent activity, with Databuddy last updated 2 days ago and Matomo 13 hours ago.

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript. However, they differ in their additional technology choices: Databuddy uses JSX, Next.js, Rust while Matomo leverages PHP, Vue.

Matomo has been in development longer, starting 16 years ago, compared to Databuddy which began 2 years ago. This 14.2-year head start suggests Matomo may have more mature features and established processes.

The projects use different licenses: Databuddy is licensed under AGPL-3.0 while Matomo uses GPL-3.0. Consider the licensing requirements when choosing for your project.

Both tools serve similar use cases in Web Analytics. However, they also have distinct specializations: Databuddy also focuses on Product Analytics.

Both Databuddy and Matomo offer self-hosting capabilities, giving you full control over your data and infrastructure.