head to head · open source
vllm vs unbody
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. unbody has 524 stars, 47 forks, 3 open issues and last shipped 7 months ago. vllm leads on adoption by 18,251% (96,158 vs 524 stars). vllm is written in Python under Apache-2.0; unbody is written in TypeScript under Apache-2.0. vllm has attracted 25% as many forks as stars, unbody 9%. 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 | unbody | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 524 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-04-14 |
| Forks | ⑂ 24K | ⑂ 47 |
| 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 unbody if
- You want the unbody feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and unbody 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 unbody
Unbody (archived) This repository is archived and no longer actively maintained. Unbody started as an open source project to build the Supabase of the AI era. That vision has evolved. We now build under Unbody Labs — shipping focused tools and products for the AI world. Our most active and direct continuation of Unbody's mission is Adapt . → Adapt Adapt is a lightweight ( Original setup instructions Prerequisites Node.js LTS (20 or 22) Docker and Docker Compose yarn (npm won't install dependencies correctly) OpenAI API key Installation Environment Setup Running the Application Create Your First Project Add a…
read the full unbody overview →
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Frequently asked questions
Is vllm or unbody more popular?
vllm has 96,158 GitHub stars and unbody has 524. vllm has the larger community by that measure.
Are vllm and unbody free?
Both are open source. vllm is licensed under Apache-2.0 and unbody under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and unbody?
vllm is written in Python and unbody 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 unbody?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose unbody if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.