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Open Source LLM Observability & Evaluation using AWS

A curated collection of the best open source tracing, monitoring, and evaluation platforms for LLM and AI-agent applications. using AWS.

Open source LLM engineering platform for AI-powered applications
  • Stars

    Stars growing over the last 30 days36,064
  • Last commit

    6 hours ago
  • License

    MIT
Langfuse provides tracing, evaluations, prompt management, and analytics to debug and improve LLM applications.

Open Source Alternative to:

Build reliable AI apps with comprehensive observability
  • Stars

    6,227
  • Last commit

    8 hours ago
  • License

    Apache-2.0
Open-source platform for logging, monitoring, and debugging LLM applications. Route, debug, and analyze AI apps with comprehensive observability tools.

Open Source Alternative to:

Full observability for AI agents in production
  • Stars

    4,728
  • Last commit

    20 hours ago
  • License

    MIT
Open-source platform for monitoring AI agents: captures traces, surfaces failure patterns, alerts on issues, and helps you verify fixes with automated evals.

Open Source Alternative to:

Simulation-based testing and evaluation for AI agents
  • Stars

    4,983
  • Last commit

    6 hours ago
  • License

    Apache-2.0
Tests AI agents through multi-turn simulations, LLM-based scoring, and production tracing so teams can ship reliable agents with confidence.

Open Source Alternative to:

AI-powered platform for engineering LLM products
  • Stars

    Stars growing over the last 30 days3,418
  • Last commit

    15 hours ago
  • License

    Apache-2.0
Laminar is an open-source platform that helps collect, understand, and utilize data for building high-quality LLM applications.

Open Source Alternative to: