Guidance vs vLLM
A side-by-side comparison of two self-hosted apps from related categories — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Guidance
Constrained generation language for controlling LLMs
VS
vLLM
High-throughput LLM serving engine with PagedAttention
| Feature | Guidance | vLLM |
|---|---|---|
| Category | Self-Hosted AI | Local LLM Runners |
| License | MIT | Apache-2.0 |
| Language | Jupyter Notebook | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 8,192 MB | 16,384 MB |
| Deployment | source | docker, kubernetes, bare-metal |
| GitHub stars | ★ 21,706 | ★ 88,482 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | OpenAI API |
Why pick each one
Choose Guidance if…
- Released under the MIT license
- Mature project with 21.7k GitHub stars
- Written in Jupyter Notebook
Choose vLLM if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 88.5k GitHub stars
Frequently asked questions
Is Guidance or vLLM better?
Neither is universally better. vLLM has the larger community, while Guidance is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are Guidance and vLLM free and open-source?
Yes. Guidance is licensed under MIT and vLLM under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Guidance and vLLM with Docker?
Guidance: check the project docs for container support. vLLM: yes.