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- TESIGN / RADAR
- REPOSITORY CARD
- langfuse/langfuse
langfuse/langfuse
🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
RANKS All-time #208
AT A GLANCE
- LANGUAGE
- TypeScript
- LICENSE
- Licence unconfirmed
- USAGE
- Unconfirmed — check before use.
- ACTIVITY
- last commit 3 days ago ()
- TOPICS
- analytics
- autogen
- evaluation
- langchain
- large-language-models
- llama-index
- llm
- llm-evaluation
- llm-observability
- llmops
- monitoring
- observability
- HOMEPAGE
- https://langfuse.com
- REPOSITORY
- GitHub ↗
- CATEGORY
- AI
A summary, not legal advice.
README EXCERPT
Langfuse Cloud · Self Host · Demo Docs · Report Bug · Feature Request · Changelog · Roadmap · Langfuse is an open source LLM engineering platform. It helps teams collaboratively develop, monitor, evaluate, and debug AI applications. Langfuse can be self-hosted in minutes and is battle-tested . Proudly made with ClickHouse open source database. 🧑💻 We're hiring Langfuse is growing fast (we doubled the team in the last 6 months) - since January 2026 we're part of ClickHouse, we're hiring engineering hybrid across the EU. We hire engineers who love open source and great developer experiences. See open roles → ✨ Core Features - LLM Application Observability: Instrument your app and start ingesting traces to Langfuse, thereby tracking LLM calls and other relevant logic in your app such as retrieval, embedding, or agent actions. Inspect and debug complex logs and user sessions. Try the interactive demo to see this in action. - Prompt Management helps you centrally manage, version control, and collaboratively iterate on your prompts. Thanks to strong caching on server and client side, you can iterate on prompts without adding latency to your application. - Evaluations are key to the LLM a…
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TIMELINE
- Repository created
- FIRST SEEN BY TESIGN ◌ BACK CATALOG
- Last push
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