head to head · open source

vllm vs vllm-omni

vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. vllm-omni has 6,855 stars, 1,747 forks, 1,977 open issues and last shipped yesterday. vllm leads on adoption by 1,242% (92,028 vs 6,855 stars). vllm is written in Python under Apache-2.0; vllm-omni is written in Python under Apache-2.0. vllm has attracted 24% as many forks as stars, vllm-omni 25%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (inference), 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 vllm-omni ★ 6.9K category AI & Machine Learning

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Side by side

	vllm	vllm-omni
GitHub stars	★ 92K	★ 6.9K
License	Apache-2.0	Apache-2.0
Written in	Python	Python
Last push	2026-09-17	2026-09-17
Forks	⑂ 22K	⑂ 1.7K
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 vllm-omni if

You want the vllm-omni 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 vllm-omni fits your workflow better

full vllm-omni 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 vllm-omni

vLLM Omni is an Apache 2.0 Python framework from the vLLM project that extends vLLM's text only inference engine to serve omni modality models — text, image, audio, video, and action — for teams that need to run diffusion transformers, autoregressive models, and realtime duplex pipelines from a single serving stack.

read the full vllm-omni overview →

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Frequently asked questions

Is vllm or vllm-omni more popular?

vllm has 92,028 GitHub stars and vllm-omni has 6,855. vllm has the larger community by that measure.

Are vllm and vllm-omni free?

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

What is the difference between vllm and vllm-omni?

vllm is written in Python and vllm-omni 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 vllm-omni?

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