Learn how Databuddy and Plausible differ in their key features, development activity, technology stack and community adoption, so you can decide which of these web analytics is best for you.
Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

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

Plausible appears to have several advantages over Databuddy, particularly in popularity, growth and maturity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Plausible significantly outpaces Databuddy in community adoption with 28,727 stars compared to 1,136 stars on GitHub. This 25.3x difference suggests Plausible has a much larger and more active community. In terms of developer contributions, Plausible has 1,813 forks, indicating strong developer engagement.
Plausible is growing faster, adding 726 stars in the last 30 days (+2.6%) against adding 23 stars for Databuddy (+2.1%). Plausible is both larger and pulling further ahead.
Both projects show recent activity, with Databuddy last updated 19 hours ago and Plausible 4 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Databuddy uses Next.js, Rust while Plausible leverages PHP, Elixir.
Plausible has been in development longer, starting 8 years ago, compared to Databuddy which began 1 year ago. This 6.4-year head start suggests Plausible may have more mature features and established processes.
Both projects use the AGPL-3.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in Web Analytics. However, they also have distinct specializations: Databuddy also focuses on Product Analytics.
Both Databuddy and Plausible offer self-hosting capabilities, giving you full control over your data and infrastructure.
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