head to head · open source

vllm vs serviette

vllm has 93,889 GitHub stars, 23,430 forks, 7,953 open issues and last shipped yesterday. serviette has 58,799 stars, 1,510 forks, 8 open issues and last shipped 2 days ago. vllm leads on adoption by 60% (93,889 vs 58,799 stars). vllm is written in Python under Apache-2.0; serviette is written in Python under MIT. vllm has attracted 25% as many forks as stars, serviette 3%. 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.

vllm ★ 94K serviette ★ 59K category AI & Machine Learning

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Side by side

	vllm	serviette
GitHub stars	★ 94K	★ 59K
License	Apache-2.0	MIT
Written in	Python	Python
Last push	2026-10-16	2026-10-15
Forks	⑂ 23K	⑂ 1.5K
Self-hosting	Yes	Yes
Data ownership	Your server	Your server

pick vllm if

You weight community size — 94K 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

full vllm profile →

pick serviette if

You want the serviette feature set and don't need the biggest community
You prefer the MIT license terms
Your stack matches Python
You evaluated both and serviette fits your workflow better

full serviette profile →

About vllm

vLLM is a high throughput, memory efficient Python library for LLM inference and serving, built for ML engineers and platform teams who need to run open weight models on their own hardware at production scale.

read the full vllm overview →

About serviette

serviette is a no code, always up to date RAG server that turns a folder of documents into a chat interface and a REST API with cited answers, built for teams that want question answering over their own organisation's files without assembling or maintaining a retrieval pipeline.

read the full serviette overview →

More in AI & Machine Learning

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vllm vs Ollama vllm vs llama.cpp vllm vs GPT4All vllm vs llama_index vllm vs LocalAI vllm vs faiss vllm vs PageIndex vllm vs Langfuse vllm vs cognee vllm vs taipy vllm vs dagster vllm vs zvec

Frequently asked questions

Is vllm or serviette more popular?

vllm has 93,889 GitHub stars and serviette has 58,799. vllm has the larger community by that measure.

Are vllm and serviette free?

Both are open source. vllm is licensed under Apache-2.0 and serviette under MIT. Neither carries a licence fee.

What is the difference between vllm and serviette?

vllm is written in Python and serviette 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 serviette?

Choose vllm if you want the larger community (93,889 stars) or its Apache-2.0 licence terms. Choose serviette if its feature set, stack or MIT licence fits better. Both are self-hostable.