Learn how Laminar and Langfuse differ in their key features, development activity, technology stack and community adoption, so you can decide which of these llm observability & evaluation tools is best for you.

Both Laminar and Langfuse have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Langfuse significantly outpaces Laminar in community adoption with 31,843 stars compared to 3,111 stars on GitHub. This 10.2x difference suggests Langfuse has a much larger and more active community. In terms of developer contributions, Langfuse has 3,385 forks, indicating strong developer engagement.
Both projects show recent activity, with Laminar last updated 1 day ago and Langfuse 12 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, JSX, Next.js. However, they differ in their additional technology choices: Laminar uses Python, Rust while Langfuse leverages Bash.
Langfuse has been in development longer, starting 3 years ago, compared to Laminar which began 2 years ago. This 1.3-year head start suggests Langfuse may have more mature features and established processes.
Laminar is licensed under Apache-2.0, while Langfuse's license terms are not publicly specified.
Both tools serve similar use cases in LLM Observability & Evaluation.
Both Laminar and Langfuse offer self-hosting capabilities, giving you full control over your data and infrastructure.

vs
Activity score
Stars
Forks
Last commit
Repository age
Version
License
Self-hosted
Repository
Activity score
Stars
Forks
Last commit
Repository age
Version
Self-hosted
Repository