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 commit
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Repository

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 12,869 stars compared to 1,136 stars on GitHub. This 11.3x difference suggests Rybbit has a much larger and more active community. In terms of developer contributions, Rybbit has 731 forks, indicating moderate developer engagement.
Rybbit is growing faster, adding 347 stars in the last 30 days (+2.8%) against adding 23 stars for Databuddy (+2.1%). Rybbit is both larger and pulling further ahead.
Both projects show recent activity, with Databuddy last updated 19 hours ago and Rybbit 3 days 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 1 year 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.
Databuddy provides self-hosting options for complete data control and customization, while Rybbit may be primarily cloud-based or require different deployment approaches.
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