head to head · open source
vllm vs llamafarm
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. llamafarm has 836 stars, 59 forks, 55 open issues and last shipped 5 months ago. vllm leads on adoption by 11,402% (96,158 vs 836 stars). vllm is written in Python under Apache-2.0; llamafarm is written in Python under Apache-2.0. vllm has attracted 25% as many forks as stars, llamafarm 7%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | llamafarm | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 836 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-06-10 |
| Forks | ⑂ 24K | ⑂ 59 |
| 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 llamafarm if
- You want the llamafarm feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and llamafarm 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 llamafarm
LlamaFarm Edge AI for Everyone Enterprise AI capabilities on your own hardware. No cloud required. LlamaFarm is an open source AI platform that runs entirely on your hardware. Build RAG applications, train custom classifiers, detect anomalies, and run document processing—all locally with complete privacy. 🔒 Complete Privacy — Your data never leaves your device 💰 No API Costs — Use open source models without per token fees 🌐 Offline Capable — Works without internet once models are downloaded ⚡ Hardware Optimized — Automatic GPU/NPU acceleration on Apple Silicon, NVIDIA, and AMD Desktop App Downloads Get…
read the full llamafarm overview →
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Frequently asked questions
Is vllm or llamafarm more popular?
vllm has 96,158 GitHub stars and llamafarm has 836. vllm has the larger community by that measure.
Are vllm and llamafarm free?
Both are open source. vllm is licensed under Apache-2.0 and llamafarm under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and llamafarm?
vllm is written in Python and llamafarm in Python. 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 llamafarm?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose llamafarm if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.