head to head · open source
GPT4All vs dstack
GPT4All has 77,347 GitHub stars, 8,261 forks, 771 open issues and last shipped 1.4 years ago. dstack has 2,299 stars, 272 forks, 68 open issues and last shipped yesterday. GPT4All leads on adoption by 3,264% (77,347 vs 2,299 stars). GPT4All is written in C++ under MIT; dstack is written in Python under MPL-2.0. GPT4All has attracted 11% as many forks as stars, dstack 12%. dstack 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 | dstack | |
|---|---|---|
| GitHub stars | ★ 77K | ★ 2.3K |
| License | MIT | MPL-2.0 |
| Written in | C++ | Python |
| Last push | 2025-05-27 | 2026-11-02 |
| Forks | ⑂ 8.3K | ⑂ 272 |
| 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 dstack if
- You want the dstack feature set and don't need the biggest community
- You prefer the MPL-2.0 license terms
- Your stack matches Python
- You evaluated both and dstack 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 dstack
dstack is a unified control plane for GPU provisioning and orchestration that works with any GPU cloud, Kubernetes, or on prem clusters. It streamlines development, training, and inference, and is compatible with any hardware, open source tools, and frameworks. Accelerators dstack supports NVIDIA , AMD , Google TPU , and Tenstorrent accelerators out of the box. Latest news ✨ [2026/08] dstack 0.21.0: Pydantic v2, Gateway replicas [2026/07] dstack 0.20.29: Presets — agent driven inference optimization (experimental) [2026/07] dstack 0.20.27: Slurm backend [2026/05] dstack 0.20.21: Kubernetes multiple clusters…
read the full dstack overview →
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Frequently asked questions
Is GPT4All or dstack more popular?
GPT4All has 77,347 GitHub stars and dstack has 2,299. GPT4All has the larger community by that measure.
Are GPT4All and dstack free?
Both are open source. GPT4All is licensed under MIT and dstack under MPL-2.0. Neither carries a licence fee.
What is the difference between GPT4All and dstack?
GPT4All is written in C++ and dstack 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, GPT4All or dstack?
Choose GPT4All if you want the larger community (77,347 stars) or its MIT licence terms. Choose dstack if its feature set, stack or MPL-2.0 licence fits better. Both are self-hostable.