head to head · open source
vllm vs Langfuse
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. Langfuse has 36,898 stars, 4,146 forks, 926 open issues and last shipped yesterday. vllm leads on adoption by 161% (96,158 vs 36,898 stars). vllm is written in Python under Apache-2.0; Langfuse is written in TypeScript under a custom or non-standard licence. vllm has attracted 25% as many forks as stars, Langfuse 11%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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
| vllm | Langfuse | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 37K |
| License | Apache-2.0 | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 24K | ⑂ 4.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 96K stars and counting
- You want the Apache-2.0 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 vllm
Easy, fast, and cheap LLM serving for everyone 🔥 We have built a vLLM website to help you get started with vLLM. Please visit vllm.ai to learn more. For events, please visit vllm.ai/events to join us. About vLLM is a fast and easy to use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors. vLLM is fast with: State of the art serving throughput Efficient management of…
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 vllm or Langfuse more popular?
vllm has 96,158 GitHub stars and Langfuse has 36,898. vllm has the larger community by that measure.
Are vllm and Langfuse free?
Both are open source. vllm is licensed under Apache-2.0, and Langfuse has no licence declared in this registry. Both are free to self-host.
What is the difference between vllm and Langfuse?
vllm 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, vllm or Langfuse?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose Langfuse if its feature set, stack or Custom / other licence fits better. Both are self-hostable.