Ross ROSS = Recommend OSS · open-source software intelligence for agents

langfuse/langfuse

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23 observed · 2026-08-28

github.com/langfuse/langfuse · homepage · TypeScript · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

92/100

  • Activity 99
  • Release rhythm 87
  • Longevity 85

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0.0
  • age_days: 1203
  • days_rel: 6
  • days_push: 7
  • n_releases_24m: 411

Full methodology

Adoption not part of the score

33767 stars · 3650 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Langfuse is an open-source AI engineering platform for LLM observability, tracing, evaluation, prompt management, and metrics, deployable as a cloud service or self-hosted. It integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and 100+ frameworks via Python/JS SDKs to trace, evaluate, and improve AI agent applications.

Use cases

  • trace and debug LLM calls and agent steps in production
  • evaluate LLM app output quality with LLM-as-judge and human review
  • manage and version prompts separately from code
  • monitor LLM cost, latency, and quality with dashboards and alerts
  • run experiments comparing prompts and models on test datasets
  • self-host an LLM observability platform
  • collect user feedback and human annotations on traces

When to choose

  • you need production observability and tracing for LLM or agent applications
  • you want integrated prompt management, evals, and metrics in one platform
  • you need OpenTelemetry-based tracing with broad framework integrations
  • you want a self-hostable alternative to closed LLM monitoring tools

When to avoid

  • you only need simple application logging without LLM-specific features
  • you need a lightweight library-only solution with no server component
  • you require a fully permissive license for commercial redistribution without checking terms

Facets

service · maturity active

monitoring tracing analytics prompt-engineering llm-inference alerting data-visualization developer-tools large-language-models monitoring analytics developer-tools self-hosted self-hosted cloud python llm-observability llm-evaluation prompt-management llmops opentelemetry agent-evals llm-as-judge tracing playground human-annotation ai-agents docker web-server nodejs typescript

10 sources

Member repositories

RepositoryRoleHealth v2
langfuse/langfusemain92

For agents

markdown · JSON · MCP: product_card(name="langfuse/langfuse")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem