Learn how Arize Phoenix and Langfuse differ in their key features, development activity, technology stack and community adoption, so you can decide which of these llm application frameworks is best for you.
Stars
Forks
Last commit
Repository age
Self-hosted
Activity score

Stars
Forks
Last commit
Repository age
Self-hosted
Activity score

Both Arize Phoenix and Langfuse have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity and features when making your decision.
Langfuse leads in popularity with 29,424 stars vs 10,213 stars for Arize Phoenix. The 188% higher star count indicates stronger community adoption. In terms of developer contributions, Langfuse has 3,058 forks, indicating strong developer engagement.
Both projects show recent activity, with Arize Phoenix last updated 22 hours ago and Langfuse 19 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Arize Phoenix uses Python while Langfuse leverages Next.js.
Both projects started around the same time, with Arize Phoenix beginning 4 years ago and Langfuse 3 years ago.
Both tools serve similar use cases in LLM Application Frameworks, AI Integration Platforms.
Both Arize Phoenix and Langfuse offer self-hosting capabilities, giving you full control over your data and infrastructure.