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Langfuse

Free plan

Open-source LLM observability platform

An open-source LLM observability platform offering tracing, evaluation, prompt management, and cost tracking for LLM applications. It integrates with OpenTelemetry, LangChain, the OpenAI SDK, LiteLLM, and more to monitor production AI apps.

Open sourceAPI availableCommercial use OK
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Edge

vs. similar tools: Its strength is the ability to self-host the MIT-licensed core, running tracing, evaluation, and prompt management without your data ever leaving your environment.

Pricing

PlanMonthly priceLimits
Hobby$0/mo월 5만 유닛 무료, 셀프 호스팅은 MIT 라이선스로 무료
Core$29/mo프로덕션 트래픽용, 초과 유닛 10만당 $8
Pro$199/mo장기 보관·SOC2/ISO27001 리포트·높은 레이트 리밋

AI Score

Computed by AI from public info and internal criteria (not a measured benchmark)

85

Overall score

Category average +3
Observability depthKorean supportValue for moneyEase of useEcosystem / Integration

Not a measured benchmark — this is a score computed by AI based on information published on the web and internal evaluation criteria.

Popularity

Buzz and recognition within the same category (not a quality score)

36

Relative score within category

  • Domain authority4.4 / 10
  • Hacker News buzz655 pts
  • GitHub stars★ 28,262

A buzz metric computed by normalizing public signals — GitHub stars, Hacker News mentions, domain authority, and more — per category. Popularity is a different axis from quality and can disadvantage new or niche tools, so we use it only as a supplementary indicator. Collected: 2026-05-31.

Related tools

By AI score

  • 91
    Hugging Face

    Its strength is being the de facto standard hub, offering hundreds of thousands of public models and datasets alongside inference and deployment infrastructure on a single platform.

  • 90
    OpenRouter

    Its strength is passing through provider pricing as-is while offering automatic fallback and model routing from a single key.

  • 89
    LangGraph

    Its advantage is graph-based state persistence that enables pause-and-resume, rollback, and audit trails, making it strong for production agents.

  • 88
    LiteLLM

    Its strength is the MIT-licensed core you can self-host, running virtual keys, budgets, and cost tracking without ever sending data outside your environment.

  • 87
    Ollama

    Its strength is pulling open models with a single command and running them as a local API server, enabling offline inference with no data leaving your machine.

Compare Langfuse

Langfuse vs ComposioLangfuse vs Hugging FaceLangfuse vs LangGraphLangfuse vs LiteLLMLangfuse vs Ollama

Last updated: 2026-05-30

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