Which is more popular, Agenta or Langfuse?

Langfuse has more GitHub stars (35,301 vs 4,803).

Which is more actively developed, Agenta or Langfuse?

Agenta had more commits in the last 90 days (8,893 vs 2,007).

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 +130 for Agenta.
Pick Agenta for: the open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability. Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management.

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The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

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, Agenta or Langfuse?: Langfuse has more GitHub stars (35,301 vs 4,803).
Which is more actively developed, Agenta or Langfuse?: Agenta had more commits in the last 90 days (8,893 vs 2,007).
Should I use Agenta or Langfuse?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.