Enchanted vs LMDeploy
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Enchanted
Native Ollama client for iOS and macOS
VS
LMDeploy
Toolkit for compressing and serving large language models
| Feature | Enchanted | LMDeploy |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | Apache-2.0 |
| Language | Swift | Python |
| Setup difficulty | Easy | Hard |
| Min. RAM | 256 MB | 16,384 MB |
| Deployment | binary | docker, source |
| GitHub stars | ★ 5,983 | ★ 7,998 |
| First released | 2024 | 2023 |
| Replaces | ChatGPT | OpenAI API, Hugging Face Inference Endpoints |
Why pick each one
Choose Enchanted if…
- Released under the Apache-2.0 license
- Easy to set up — beginner-friendly
- Mature project with 6k GitHub stars
- Written in Swift
Choose LMDeploy if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 8k GitHub stars
- Written in Python
Frequently asked questions
Is Enchanted or LMDeploy better?
Neither is universally better. LMDeploy has the larger community, while Enchanted is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are Enchanted and LMDeploy free and open-source?
Yes. Enchanted is licensed under Apache-2.0 and LMDeploy under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Enchanted and LMDeploy with Docker?
Enchanted: check the project docs for container support. LMDeploy: yes.