Learn how Databuddy and Rybbit 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 30 days
Last commit
7 hours agoRepository age
2 yearsVersion
v2.9.2License
AGPL-3.0Self-hosted
YesRepository
rybbit-io/rybbit
Both Databuddy and Rybbit 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.
Rybbit significantly outpaces Databuddy in community adoption with 13,156 stars compared to 1,214 stars on GitHub. This 10.8x difference suggests Rybbit has a much larger and more active community. In terms of developer contributions, Rybbit has 761 forks, indicating moderate developer engagement.
Databuddy is growing faster, adding 51 stars in the last 30 days (+4.4%) against adding 93 stars for Rybbit (+0.7%). 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 Rybbit 7 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Next.js. However, they differ in their additional technology choices: Databuddy uses Rust.
Both projects started around the same time, with Databuddy beginning 2 years ago and Rybbit 2 years ago.
Both projects use the AGPL-3.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in Web Analytics, Product Analytics.
Both Databuddy and Rybbit offer self-hosting capabilities, giving you full control over your data and infrastructure.
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