Onyx vs Hugging Face Transformers
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Onyx
AI assistant connected to your company's knowledge
VS
Hugging Face Transformers
State-of-the-art machine learning model library
| Feature | Onyx | Hugging Face Transformers |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | docker, kubernetes, helm | bare-metal, source |
| GitHub stars | ★ 31,496 | ★ 163,456 |
| First released | 2023 | 2018 |
| Replaces | Glean, ChatGPT Enterprise | OpenAI API |
Why pick each one
Choose Onyx if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 31.5k GitHub stars
Choose Hugging Face Transformers if…
- Released under the Apache-2.0 license
- Mature project with 163.5k GitHub stars
- Written in Python
Frequently asked questions
Is Onyx or Hugging Face Transformers better?
Neither is universally better. Hugging Face Transformers has the larger community, while Onyx is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are Onyx and Hugging Face Transformers free and open-source?
Yes. Onyx is licensed under MIT and Hugging Face Transformers under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Onyx and Hugging Face Transformers with Docker?
Onyx: yes. Hugging Face Transformers: check the project docs for container support.