head to head · open source
Ollama vs sglang-omni
Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. sglang-omni has 1,674 stars, 681 forks, 644 open issues and last shipped yesterday. Ollama leads on adoption by 10,993% (185,702 vs 1,674 stars). Ollama is written in Go under MIT; sglang-omni is written in Python under Apache-2.0. Ollama has attracted 10% 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.
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 | sglang-omni | |
|---|---|---|
| GitHub stars | ★ 186K | ★ 1.7K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 19K | ⑂ 681 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Ollama if
- You weight community size — 186K stars and counting
- You want the MIT license terms
- Your stack matches Go
- 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 Ollama
Ollama Start building with open models. Download macOS or download manually Windows or download manually Linux Manual install instructions Docker The official Ollama Docker image ollama/ollama is available on Docker Hub. Libraries ollama python ollama js Community Discord 𝕏 (Twitter) Reddit Get started You'll be prompted to run a model or connect Ollama to your existing agents or applications such as Claude Code , OpenClaw , OpenCode , Codex , Copilot , and more. Coding To launch a specific integration: Supported integrations include Claude Code, Codex, Copilot CLI, DeepSeek Harness, Droid, and OpenCode. AI…
read the full Ollama overview →
About sglang-omni
Blog Documentation Quick Start Cookbook SGLang Join Slack ⭐ Star SGLang Omni to help more builders discover open infrastructure for multimodal and speech serving! News [2026/09] 🐧 Day 0 support for AuK and AuK Flash: text + voice instructions → 24 kHz speech on /v1/audio/speech , audio + editing instructions → edited speech on /generate . \[Cookbook\] [2026/09] 🚀 SGLang Omni v0.1.5 is on PyPI. Install with uv pip install prerelease=allow "sglang omni==0.1.5" . \[Installation\] [2026/08] 🎵 Day 0 support for MiniMax Music 3: lyrics + caption → 32 kHz stereo song on /v1/audio/speech . \[Cookbook\] [2026/08] 🚀…
read the full sglang-omni overview →
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Frequently asked questions
Is Ollama or sglang-omni more popular?
Ollama has 185,702 GitHub stars and sglang-omni has 1,674. Ollama has the larger community by that measure.
Are Ollama and sglang-omni free?
Both are open source. Ollama is licensed under MIT and sglang-omni under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and sglang-omni?
Ollama is written in Go 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, Ollama or sglang-omni?
Choose Ollama if you want the larger community (185,702 stars) or its MIT licence terms. Choose sglang-omni if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.