head to head · open source
GPT4All vs FastDeploy
GPT4All has 77,347 GitHub stars, 8,261 forks, 771 open issues and last shipped 1.4 years ago. FastDeploy has 3,724 stars, 758 forks, 649 open issues and last shipped 1 months ago. GPT4All leads on adoption by 1,977% (77,347 vs 3,724 stars). GPT4All is written in C++ under MIT; FastDeploy is written in Python under Apache-2.0. GPT4All has attracted 11% as many forks as stars, FastDeploy 20%. FastDeploy 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 | FastDeploy | |
|---|---|---|
| GitHub stars | ★ 77K | ★ 3.7K |
| License | MIT | Apache-2.0 |
| Written in | C++ | Python |
| Last push | 2025-05-27 | 2026-09-24 |
| Forks | ⑂ 8.3K | ⑂ 758 |
| 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 FastDeploy if
- You want the FastDeploy 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 FastDeploy 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 FastDeploy
English 简体中文 安装指导 快速入门 支持模型列表 FastDeploy 飞桨大模型高效部署套件 最新活动 [2026 03] FastDeploy v2.5 全新发布! 新增Qwen3 VL与Qwen3 VL MoE模型部署支持，新增W4AFP8量化方法，增强强化学习训练支持能力，包含170+项Bug修复与性能优化，升级全部内容参阅 v2.5 ReleaseNote。 [2026 01] FastDeploy v2.4 : 新增 DeepSeek V3 与 Qwen3 MoE 模型的 PD 分离部署，增强MTP 投机解码能力，全面优化多硬件平台上的 MoE 推理与多模态前缀缓存性能，升级全部内容参阅 v2.4 ReleaseNote。 [2025 11] FastDeploy v2.3 : 新增ERNIE 4.5 VL 28B A3B Thinking与PaddleOCR VL 0.9B两大重磅模型在多硬件平台上的部署支持，进一步优化全方位推理性能，以及带来更多部署功能和易用性的提升，升级全部内容参阅v2.3 ReleaseNote。 [2025 09] FastDeploy v2.2 : HuggingFace生态模型兼容，性能进一步优化，更新增对baidu/ERNIE 21B A3B Thinking支持! [2025 08] FastDeploy v2.1 :全新的KV…
read the full FastDeploy overview →
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Frequently asked questions
Is GPT4All or FastDeploy more popular?
GPT4All has 77,347 GitHub stars and FastDeploy has 3,724. GPT4All has the larger community by that measure.
Are GPT4All and FastDeploy free?
Both are open source. GPT4All is licensed under MIT and FastDeploy under Apache-2.0. Neither carries a licence fee.
What is the difference between GPT4All and FastDeploy?
GPT4All is written in C++ and FastDeploy 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 FastDeploy?
Choose GPT4All if you want the larger community (77,347 stars) or its MIT licence terms. Choose FastDeploy if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.