Damselfly vs DeepFace
A side-by-side comparison of two self-hosted photo management options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Damselfly
Server-based photo management for large libraries
VS
DeepFace
Face recognition and facial attribute analysis framework
| Feature | Damselfly | DeepFace |
|---|---|---|
| Category | Photo Management | Photo Management |
| License | GPL-3.0 | MIT |
| Language | C# | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 1,024 MB | 2,048 MB |
| Deployment | docker | docker, bare-metal |
| GitHub stars | ★ 1,781 | ★ 23,222 |
| First released | 2020 | 2020 |
| Replaces | Google Photos | AWS Rekognition, Azure Face API |
Why pick each one
Choose DeepFace if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 23.2k GitHub stars
- Written in Python
Frequently asked questions
Is Damselfly or DeepFace better?
Neither is universally better. DeepFace has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Damselfly and DeepFace free and open-source?
Yes. Damselfly is licensed under GPL-3.0 and DeepFace under MIT. Both can be self-hosted at no software cost.
Can I run Damselfly and DeepFace with Docker?
Damselfly: yes. DeepFace: yes.