head to head · open source
GPT4All vs gpu-hot
GPT4All has 77,347 GitHub stars, 8,261 forks, 771 open issues and last shipped 1.4 years ago. gpu-hot has 1,642 stars, 86 forks, 8 open issues and last shipped 2 months ago. GPT4All leads on adoption by 4,611% (77,347 vs 1,642 stars). GPT4All is written in C++ under MIT; gpu-hot is written in JavaScript under MIT. GPT4All has attracted 11% as many forks as stars, gpu-hot 5%. gpu-hot 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
| GPT4All | gpu-hot | |
|---|---|---|
| GitHub stars | ★ 77K | ★ 1.6K |
| License | MIT | MIT |
| Written in | C++ | JavaScript |
| Last push | 2025-05-27 | 2026-08-25 |
| Forks | ⑂ 8.3K | ⑂ 86 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick GPT4All if
- You weight community size — 77K stars and counting
- You want the MIT license terms
- Your stack matches C++
- 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 GPT4All
GPT4All Now with support for DeepSeek R1 Distillations Website • Documentation • Discord • YouTube Tutorial GPT4All runs large language models (LLMs) privately on everyday desktops & laptops. No API calls or GPUs required you can just download the application and get started . Read about what's new in our blog . Subscribe to the newsletter GPT4All is made possible by our compute partner Paperspace . Download Links — Windows Installer — — Windows ARM Installer — — macOS Installer — — Ubuntu Installer — The Windows and Linux builds require Intel Core…
read the full GPT4All 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 GPT4All or gpu-hot more popular?
GPT4All has 77,347 GitHub stars and gpu-hot has 1,642. GPT4All has the larger community by that measure.
Are GPT4All and gpu-hot free?
Both are open source. GPT4All is licensed under MIT and gpu-hot under MIT. Neither carries a licence fee.
What is the difference between GPT4All and gpu-hot?
GPT4All is written in C++ 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, GPT4All or gpu-hot?
Choose GPT4All if you want the larger community (77,347 stars) or its MIT licence terms. Choose gpu-hot if its feature set, stack or MIT licence fits better. Both are self-hostable.