head to head · open source
LiteLLM vs Langfuse
LiteLLM has 59,036 GitHub stars, 11,545 forks, 5,022 open issues and last shipped today. Langfuse has 34,746 stars, 3,791 forks, 926 open issues and last shipped yesterday. LiteLLM leads on adoption by 70% (59,036 vs 34,746 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 20% 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.
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Side by side
| LiteLLM | Langfuse | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 35K |
| License | Custom / other | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-09-18 | 2026-09-17 |
| Forks | ⑂ 12K | ⑂ 3.8K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LiteLLM if
- You weight community size — 59K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
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
About LiteLLM
LiteLLM is an open source AI gateway that provides a unified interface to call over 100 large language model (LLM) providers—including OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, Google VertexAI, and vLLM—using the OpenAI compatible API format. It runs as both a Python SDK for direct integration and as a standalone proxy server for centralized, team or organization wide use.
read the full LiteLLM overview →
About Langfuse
Langfuse is an open source LLM engineering platform for building, monitoring, and improving AI powered applications. It lives in the LLMops ecosystem and provides tooling for the full development lifecycle—from prompt iteration and evaluation to observability and dataset management. Built with TypeScript and powered by ClickHouse, it enables teams to track LLM calls, user sessions, and internal logic like retrieval or agent actions in a unified interface.
read the full Langfuse overview →
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Frequently asked questions
Is LiteLLM or Langfuse more popular?
LiteLLM has 59,036 GitHub stars and Langfuse has 34,746. 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 (59,036 stars) or its Custom / other licence terms. Choose Langfuse if its feature set, stack or Custom / other licence fits better. Both are self-hostable.