Which is more popular, Langfuse or phoenix?

Langfuse has more GitHub stars (35,301 vs 11,680).

Which is more actively developed, Langfuse or phoenix?

Langfuse had more commits in the last 90 days (2,007 vs 1,196).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Langfuse is growing faster: +1,812 GitHub stars in the last 30 days vs +416 for phoenix.
Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management. Pick phoenix for: aI Observability & Evaluation.

From GitHub data refreshed daily.

Langfuseopen-source

Open-source LLM engineering platform for observability, evaluation, prompt and dataset management

AI Observability & Evaluation

+Open source with MIT license allowing full customization and transparency, plus active community support
+Comprehensive feature set combining observability, prompt management, evaluations, and datasets in one platform
+Extensive integrations with major LLM frameworks and tools including OpenTelemetry, LangChain, and OpenAI SDK

•Production LLM application monitoring to track performance, costs, and identify issues in real-time
•Prompt engineering and management for teams collaborating on optimizing model prompts and tracking versions
•LLM evaluation and testing to measure model performance across different datasets and use cases

Which is more popular, Langfuse or phoenix?: Langfuse has more GitHub stars (35,301 vs 11,680).
Which is more actively developed, Langfuse or phoenix?: Langfuse had more commits in the last 90 days (2,007 vs 1,196).
Should I use Langfuse or phoenix?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.