head to head · open source
vllm vs sglang-omni
vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. sglang-omni has 1,216 stars, 496 forks, 644 open issues and last shipped yesterday. vllm leads on adoption by 7,468% (92,028 vs 1,216 stars). vllm is written in Python under Apache-2.0; sglang-omni is written in Python under Apache-2.0. vllm has attracted 24% as many forks as stars, sglang-omni 41%. sglang-omni was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (cuda, 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.
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Side by side
| vllm | sglang-omni | |
|---|---|---|
| GitHub stars | ★ 92K | ★ 1.2K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 22K | ⑂ 496 |
| 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
pick sglang-omni if
- You want the sglang-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 sglang-omni fits your workflow better
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.
About sglang-omni
SGLang Omni is an Apache 2.0 Python serving framework that runs audio models (text to speech, automatic speech recognition, music generation) and unified multimodal models behind OpenAI compatible endpoints, aimed at teams deploying those models on their own GPU infrastructure.
read the full sglang-omni overview →
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Frequently asked questions
Is vllm or sglang-omni more popular?
vllm has 92,028 GitHub stars and sglang-omni has 1,216. vllm has the larger community by that measure.
Are vllm and sglang-omni free?
Both are open source. vllm is licensed under Apache-2.0 and sglang-omni under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and sglang-omni?
vllm is written in Python and sglang-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 sglang-omni?
Choose vllm if you want the larger community (92,028 stars) or its Apache-2.0 licence terms. Choose sglang-omni if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.