head to head · open source
LocalAI vs gpu-hot
LocalAI has 49,179 GitHub stars, 4,458 forks, 201 open issues and last shipped today. gpu-hot has 1,635 stars, 84 forks, 8 open issues and last shipped 26 days ago. LocalAI leads on adoption by 2,908% (49,179 vs 1,635 stars). LocalAI is written in Go under MIT; gpu-hot is written in JavaScript under MIT. LocalAI has attracted 9% as many forks as stars, gpu-hot 5%. LocalAI 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
| LocalAI | gpu-hot | |
|---|---|---|
| GitHub stars | ★ 49K | ★ 1.6K |
| License | MIT | MIT |
| Written in | Go | JavaScript |
| Last push | 2026-09-20 | 2026-08-25 |
| Forks | ⑂ 4.5K | ⑂ 84 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LocalAI if
- You weight community size — 49K 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 LocalAI
LocalAI is an open source AI runtime that enables running large language models (LLMs), vision, audio, image, and video models locally or on premises. It operates as a modular engine where each model type is backed by a dedicated, lightweight backend—such as llama.cpp, whisper.cpp, or stable diffusion—pulled only when needed. This composable architecture avoids bundling unnecessary dependencies, keeping the core minimal while supporting diverse modalities and hardware configurations.
read the full LocalAI overview →
About gpu-hot
gpu hot is a self hosted, real time NVIDIA GPU monitoring dashboard that ships as a Docker image and serves a live browser UI on port 1312 for a single machine or an entire cluster of GPU servers.
read the full gpu-hot overview →
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Frequently asked questions
Is LocalAI or gpu-hot more popular?
LocalAI has 49,179 GitHub stars and gpu-hot has 1,635. LocalAI has the larger community by that measure.
Are LocalAI and gpu-hot free?
Both are open source. LocalAI is licensed under MIT and gpu-hot under MIT. Neither carries a licence fee.
What is the difference between LocalAI and gpu-hot?
LocalAI 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, LocalAI or gpu-hot?
Choose LocalAI if you want the larger community (49,179 stars) or its MIT licence terms. Choose gpu-hot if its feature set, stack or MIT licence fits better. Both are self-hostable.