Learn how Rybbit and Trench differ in their key features, development activity, technology stack and community adoption, so you can decide which of these product analytics is best for you.
Last 30 days
Last commit
Repository age
Version
License
Repository

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

Both Rybbit and Trench 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 Trench in community adoption with 12,752 stars compared to 1,661 stars on GitHub. This 7.7x difference suggests Rybbit has a much larger and more active community. In terms of developer contributions, Rybbit has 719 forks, indicating moderate developer engagement.
Rybbit is growing faster, adding 263 stars in the last 30 days (+2.1%) against adding 15 stars for Trench (+0.9%). Rybbit is both larger and pulling further ahead.
Rybbit shows more recent development activity with its last commit 17 hours ago, while Trench was last updated 5 months ago. This suggests Rybbit is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript. However, they differ in their additional technology choices: Rybbit uses JSX, Next.js while Trench leverages NestJS.
Both projects started around the same time, with Rybbit beginning 2 years ago and Trench 2 years ago.
Trench uses the MIT license, which is more permissive than Rybbit's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Product Analytics. However, they also have distinct specializations: Rybbit also focuses on Web Analytics while Trench extends into Event Streaming Platforms, Stream Processing.
Trench 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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