Which is more popular, Langfuse or Mastra?

Langfuse has more GitHub stars (35,266 vs 28,467).

Which is more actively developed, Langfuse or Mastra?

Mastra had more commits in the last 90 days (4,007 vs 2,011).

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: +1,816 GitHub stars in the last 30 days vs +969 for Mastra.
Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management. Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents.

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Langfuseopen-source

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

From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

+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 Mastra?: Langfuse has more GitHub stars (35,266 vs 28,467).
Which is more actively developed, Langfuse or Mastra?: Mastra had more commits in the last 90 days (4,007 vs 2,011).
Should I use Langfuse or Mastra?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.