head to head · open source

LiteLLM vs Langfuse

LiteLLM has 62,569 GitHub stars, 12,940 forks, 5,022 open issues and last shipped yesterday. Langfuse has 36,898 stars, 4,146 forks, 926 open issues and last shipped yesterday. LiteLLM leads on adoption by 70% (62,569 vs 36,898 stars). LiteLLM is written in Python under a custom or non-standard licence; Langfuse is written in TypeScript under a custom or non-standard licence. LiteLLM has attracted 21% as many forks as stars, Langfuse 11%. LiteLLM was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (langchain, llm, llmops), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

LiteLLM ★ 63K Langfuse ★ 37K category AI & Machine Learning

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Side by side

LiteLLM Langfuse
GitHub stars ★ 63K ★ 37K
License Custom / other Custom / other
Written in Python TypeScript
Last push 2026-11-02 2026-11-02
Forks ⑂ 13K ⑂ 4.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick LiteLLM if

  • You weight community size — 63K stars and counting
  • You want the Custom / other license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full LiteLLM profile →

pick Langfuse if

  • You want the Langfuse feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches TypeScript
  • You evaluated both and Langfuse fits your workflow better

full Langfuse profile →

About LiteLLM

🚅 LiteLLM LiteLLM AI Gateway Open Source AI Gateway for 100+ LLMs. Self hosted. Enterprise ready. Call any LLM in OpenAI format. LiteLLM Proxy Server (AI Gateway) Hosted Proxy Enterprise Tier Website What is LiteLLM LiteLLM is an open source AI Gateway that gives you a single, unified interface to call 100+ LLM providers — OpenAI, Anthropic, Gemini, Bedrock, Azure, and more — using the OpenAI format. Use it as a Python SDK for direct library integration, or deploy the AI Gateway (Proxy Server) as a centralized service for your team or organization. Jump to LiteLLM Proxy (LLM Gateway) Docs Jump to Supported LLM…

read the full LiteLLM overview →

About Langfuse

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 → ✨…

read the full Langfuse overview →

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Frequently asked questions

Is LiteLLM or Langfuse more popular?

LiteLLM has 62,569 GitHub stars and Langfuse has 36,898. LiteLLM has the larger community by that measure.

Are LiteLLM and Langfuse free?

Neither LiteLLM nor Langfuse declares a licence in this registry, so check each project's own repository before relying on either for a commercial use. Both are free to self-host.

What is the difference between LiteLLM and Langfuse?

LiteLLM is written in Python and Langfuse in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, LiteLLM or Langfuse?

Choose LiteLLM if you want the larger community (62,569 stars) or its Custom / other licence terms. Choose Langfuse if its feature set, stack or Custom / other licence fits better. Both are self-hostable.