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The core of this project is MIT-licensed (detected from the license text; GitHub could not classify it automatically) and free to use. A separate portion is commercially licensed by the publisher — from the upstream license: "Portions of this software are licensed as follows". Read the upstream LICENSE before relying on any enterprise feature.
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Indexed Aug 1, 2026 · 32,255 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
langfuse
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Inte
by Open Source Community · New publisher
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
**langfuse/langfuse** is an open-source project by 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. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/langfuse/langfuse
From the project's own README (excerpt, reproduced for discovery under its null license):
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 application development workflow, and Langfuse adapts to your needs. It supports LLM-as-a-judge, Code evaluators, user feedback collection, manual labeling, and custom evaluation pipelines via APIs/SDKs. • Datasets enable test sets and benchmarks for evaluating your LLM application. They support continuous improvement, pre-deployment testing, structured experiments, flexible evaluation, and seamless integration with frameworks like LangChain and LlamaIndex. • LLM Playground is a…
Preview
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Capabilities
Requirements & stack
Depends on
- → PostgreSQL database
- → Authentication
- → Programmatic API
Credentials needed
None declared
Stack
Companions & conflicts
- None declared
Community
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Trust Passport
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This listing is unclaimed, so publisher identity cannot be verified and it stays below the “verified” tier by design — that is a statement about the listing, not about the project’s quality. Our automated scans still ran; a maintainer who claims it unlocks identity verification.
- publisher identity Publisher status verified; 0 verification(s) on file
- malicious pattern scan No known malicious-behavior patterns detected in reviewed content
- capability contract All 0 observed capability reference(s) match the declared manifest
- agent safety scan No injection patterns in agent-readable content
- provenance No release signature or provenance attestation
- behavioral sandbox Not performed in this environment — requires the production isolated runner (docs/sandbox-requirements.md). No untrusted code is ever executed on the application host.
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Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Aug 1, 2026 | Indexed listing — see the upstream repository for real release history. |
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