head to head · open source
Ollama vs ome
Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. ome has 523 stars, 106 forks, 134 open issues and last shipped yesterday. Ollama leads on adoption by 35,407% (185,702 vs 523 stars). Ollama is written in Go under MIT; ome is written in Go under Apache-2.0. Ollama has attracted 10% as many forks as stars, ome 20%. 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.
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Side by side
| Ollama | ome | |
|---|---|---|
| GitHub stars | ★ 186K | ★ 523 |
| License | MIT | Apache-2.0 |
| Written in | Go | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 19K | ⑂ 106 |
| 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 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
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 ome
OME (Open Model Engine) — Kubernetes Operator for LLM Serving What is OME? OME (Open Model Engine) is a Kubernetes operator for enterprise grade management and serving of Large Language Models (LLMs). It optimizes the deployment and operation of LLMs by automating model management, intelligent runtime selection, efficient resource utilization, and sophisticated deployment patterns. Read the documentation to learn more about OME capabilities and features. Features Overview Model Management: Models are first class citizen custom resources in OME. Sophisticated model parsing extracts architecture, parameter count…
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Frequently asked questions
Is Ollama or ome more popular?
Ollama has 185,702 GitHub stars and ome has 523. Ollama has the larger community by that measure.
Are Ollama and ome free?
Both are open source. Ollama is licensed under MIT and ome under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and ome?
Ollama is written in Go 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, Ollama or ome?
Choose Ollama if you want the larger community (185,702 stars) or its MIT licence terms. Choose ome if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.