head to head · open source
Ollama vs gpu-hot
Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. gpu-hot has 1,642 stars, 86 forks, 8 open issues and last shipped 2 months ago. Ollama leads on adoption by 11,210% (185,702 vs 1,642 stars). Ollama is written in Go under MIT; gpu-hot is written in JavaScript under MIT. Ollama has attracted 10% as many forks as stars, gpu-hot 5%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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 | gpu-hot | |
|---|---|---|
| GitHub stars | ★ 186K | ★ 1.6K |
| License | MIT | MIT |
| Written in | Go | JavaScript |
| Last push | 2026-11-02 | 2026-08-25 |
| Forks | ⑂ 19K | ⑂ 86 |
| 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 gpu-hot if
- You want the gpu-hot feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and gpu-hot 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 gpu-hot
GPU Hot Real time NVIDIA GPU monitoring dashboard. Lightweight, web based, and self hosted. Usage Monitor a single machine or an entire cluster with the same Docker image. Single machine: Multiple machines: Open Older GPUs: Add e NVIDIA SMI=true if metrics don't appear. Process monitoring: Add init pid=host to see process names. Note: This allows the container to access host process information. From source: Requirements: Docker + NVIDIA Container Toolkit Features Real time metrics (sub second) Automatic multi GPU detection Process monitoring (PID, memory usage) Historical charts (utilization, temperature…
read the full gpu-hot overview →
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Frequently asked questions
Is Ollama or gpu-hot more popular?
Ollama has 185,702 GitHub stars and gpu-hot has 1,642. Ollama has the larger community by that measure.
Are Ollama and gpu-hot free?
Both are open source. Ollama is licensed under MIT and gpu-hot under MIT. Neither carries a licence fee.
What is the difference between Ollama and gpu-hot?
Ollama is written in Go and gpu-hot in JavaScript. 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 gpu-hot?
Choose Ollama if you want the larger community (185,702 stars) or its MIT licence terms. Choose gpu-hot if its feature set, stack or MIT licence fits better. Both are self-hostable.