head to head · open source
Ollama vs vllm-omni
Ollama has 181,161 GitHub stars, 17,917 forks, 3,957 open issues and last shipped yesterday. vllm-omni has 6,855 stars, 1,747 forks, 1,977 open issues and last shipped yesterday. Ollama leads on adoption by 2,543% (181,161 vs 6,855 stars). Ollama is written in Go under MIT; vllm-omni is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, vllm-omni 25%. vllm-omni 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
| Ollama | vllm-omni | |
|---|---|---|
| GitHub stars | ★ 181K | ★ 6.9K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 18K | ⑂ 1.7K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Ollama if
- You weight community size — 181K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
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
About Ollama
Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.
read the full Ollama 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 Ollama or vllm-omni more popular?
Ollama has 181,161 GitHub stars and vllm-omni has 6,855. Ollama has the larger community by that measure.
Are Ollama and vllm-omni free?
Both are open source. Ollama is licensed under MIT and vllm-omni under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and vllm-omni?
Ollama is written in Go 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, Ollama or vllm-omni?
Choose Ollama if you want the larger community (181,161 stars) or its MIT licence terms. Choose vllm-omni if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.