7,363 open-source and SaaS tools, with GitHub stats refreshed every day.

Langfuse

Open source

An open-source LLM engineering platform for tracing, evaluating and improving AI applications, with prompt management, datasets and a playground, self-hosted or cloud.

langfuse.com
Langfuse homepage screenshot
GitHub stars
35k
Last commit
today
Repository age
3 years
Version
v4.50.0
Licence
Custom
Self-hosted
Yes

About Langfuse

Langfuse is an open-source LLM engineering platform that helps teams develop, monitor, evaluate and debug AI applications together. You instrument your app, and Langfuse records traces of LLM calls and surrounding logic such as retrieval, embeddings and agent actions, so complex runs and user sessions can be inspected and debugged.

Prompt management lets you centrally version and iterate on prompts, with caching on server and client so that changes do not add latency to your app. Evaluation features cover LLM-as-a-judge, code evaluators, user feedback, manual labeling and custom pipelines through the API and SDKs. Datasets provide test sets and benchmarks, there is an LLM playground for trying prompts, and integrations exist for OpenAI, LangChain and LlamaIndex. It is built on the ClickHouse database, and the Langfuse team has been part of ClickHouse since January 2026.

You can use Langfuse Cloud or self-host it, which the maintainers say takes minutes. The repository license is listed as 'Other' because it combines open-source and enterprise components, so check the terms. It suits teams shipping production LLM features who need visibility into quality, latency and cost.

Key features

  • Tracing of LLM calls, retrieval and agent actions
  • Prompt versioning with caching
  • LLM-as-a-judge and custom evaluations
  • Datasets for tests and benchmarks
  • Interactive LLM playground
  • Integrations with OpenAI, LangChain and LlamaIndex

Good fit for

  • →Debugging production LLM applications
  • →Tracking prompt versions and quality over time
  • →Evaluating agents against test datasets
Built with
TypeScript
Tags
llmops
observability
llm
tracing
evaluation
prompt-management
self-hosted
ai
analytics

Langfuse: questions and answers

What is Langfuse used for?
Langfuse is an open-source LLM engineering platform for tracing, evaluating and improving AI applications, with prompt management, datasets and a playground, self-hosted or cloud. It is a good fit for debugging production LLM applications, tracking prompt versions and quality over time, and evaluating agents against test datasets.
Is Langfuse open source?
Yes. Langfuse is open source under a custom licence. Its source code is on GitHub at langfuse/langfuse and is written mainly in TypeScript.
Is Langfuse free?
Yes. Langfuse is open source, so the software itself is free to use under the terms of its own licence. A managed cloud version is also available.
Can I self-host Langfuse?
Yes. Langfuse can be self-hosted on your own server or infrastructure.
What is Langfuse an alternative to?
Langfuse is an open-source alternative to Weights & Biases, LangSmith, Arize AI and Braintrust. Other open-source alternatives to Weights & Biases include Opik, Arize Phoenix and Laminar.
Is Langfuse actively maintained?
Yes. The most recent commit to Langfuse was on 2 October 2026, and the latest release is v4.50.0, published on 2 October 2026. The project has 35k stars on GitHub.

Open-source alternatives to Langfuse

See all

SaaS alternatives to Langfuse

See all