Which is more popular, LangFair or Langfuse?

Langfuse has more GitHub stars (35,329 vs 262).

Which is more actively developed, LangFair or Langfuse?

Langfuse had more commits in the last 90 days (2,013 vs 14).

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: +1,807 GitHub stars in the last 30 days vs +1 for LangFair.
Pick LangFair for: langFair is a Python library for conducting use-case level LLM bias and fairness assessments. Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management.

From GitHub data refreshed daily.

LangFair is a Python library for conducting use-case level LLM bias and fairness assessments

Langfuseopen-source

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

+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, LangFair or Langfuse?: Langfuse has more GitHub stars (35,329 vs 262).
Which is more actively developed, LangFair or Langfuse?: Langfuse had more commits in the last 90 days (2,013 vs 14).
Should I use LangFair or Langfuse?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.