head to head · open source

vllm vs ome

vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. ome has 509 stars, 97 forks, 134 open issues and last shipped yesterday. vllm leads on adoption by 17,980% (92,028 vs 509 stars). vllm is written in Python under Apache-2.0; ome is written in Go under Apache-2.0. vllm has attracted 24% as many forks as stars, ome 19%. ome was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (deepseek, llama, 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 ★ 92K ome ★ 509 category AI & Machine Learning

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Side by side

	vllm	ome
GitHub stars	★ 92K	★ 509
License	Apache-2.0	Apache-2.0
Written in	Python	Go
Last push	2026-09-17	2026-09-17
Forks	⑂ 22K	⑂ 97
Self-hosting	Yes	Yes
Data ownership	Your server	Your server

pick vllm if

You weight community size — 92K 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 ome if

You want the ome feature set and don't need the biggest community
You prefer the Apache-2.0 license terms
Your stack matches Go
You evaluated both and ome fits your workflow better

full ome 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 ome

OME (Open Model Engine) is an Apache 2.0 Kubernetes operator, written in Go, that manages model lifecycle, GPU scheduling, and LLM serving for platform teams running inference on Kubernetes.

read the full ome overview →

More in AI & Machine Learning

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Compare either of these against the rest of the Machine Learning Infrastructure field.

vllm vs Ollama vllm vs llama.cpp vllm vs GPT4All vllm vs llama_index vllm vs LocalAI vllm vs PageIndex vllm vs Langfuse vllm vs cognee vllm vs taipy vllm vs dagster vllm vs zvec vllm vs langchain4j

Frequently asked questions

Is vllm or ome more popular?

vllm has 92,028 GitHub stars and ome has 509. vllm has the larger community by that measure.

Are vllm and ome free?

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

What is the difference between vllm and ome?

vllm is written in Python and ome in Go. 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 ome?

Choose vllm if you want the larger community (92,028 stars) or its Apache-2.0 licence terms. Choose ome if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.