head to head · open source
Ollama vs trnrt
Ollama has 186,675 GitHub stars, 19,023 forks, 3,957 open issues and last shipped yesterday. trnrt has 1,317 stars, 12 forks, 10 open issues and last shipped yesterday. Ollama leads on adoption by 14,074% (186,675 vs 1,317 stars). Ollama is written in Go under MIT; trnrt is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, trnrt 1%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (glm, 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 | trnrt | |
|---|---|---|
| GitHub stars | ★ 187K | ★ 1.3K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-11 | 2026-11-11 |
| Forks | ⑂ 19K | ⑂ 12 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Ollama if
- You weight community size — 187K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick trnrt if
- You want the trnrt 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 trnrt 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 trnrt
Quickstart · Benchmarks · Docs · Kernels · Blog post · runanywhere.ai TrnRT is an open inference engine for large language models on AWS Trainium. It serves an OpenAI compatible API from one trn2.48xlarge , runs decode as NKI megakernels (about one kernel per layer half), and keeps a prefix cache across device and host memory. GLM 5.3 Flash is the first supported model; more open models are on the way. How we built it, with the AgentX results: Serving GLM 5.3 Flash on one Trainium2 box with NKI layer megakernels. Highlights Quickstart You need Docker, a trn2.48xlarge to serve on, and any x86 64 host to compile…
read the full trnrt overview →
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Frequently asked questions
Is Ollama or trnrt more popular?
Ollama has 186,675 GitHub stars and trnrt has 1,317. Ollama has the larger community by that measure.
Are Ollama and trnrt free?
Both are open source. Ollama is licensed under MIT and trnrt under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and trnrt?
Ollama is written in Go and trnrt 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 trnrt?
Choose Ollama if you want the larger community (186,675 stars) or its MIT licence terms. Choose trnrt if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.