DeepFace vs gallery-dl
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?
DeepFace
Face recognition and facial attribute analysis framework
VS
gallery-dl
Command-line tool to download image galleries from websites
| Feature | DeepFace | gallery-dl |
|---|---|---|
| Category | Photo Management | Photo Management |
| License | MIT | GPL-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Easy |
| Min. RAM | 2,048 MB | 128 MB |
| Deployment | docker, bare-metal | bare-metal, binary, source |
| GitHub stars | ★ 23,222 | ★ 19,143 |
| First released | 2020 | 2015 |
| Replaces | AWS Rekognition, Azure Face API | Manual downloads |
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 DeepFace or gallery-dl better?
Neither is universally better. DeepFace has the larger community, while gallery-dl is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are DeepFace and gallery-dl free and open-source?
Yes. DeepFace is licensed under MIT and gallery-dl under GPL-2.0. Both can be self-hosted at no software cost.
Can I run DeepFace and gallery-dl with Docker?
DeepFace: yes. gallery-dl: check the project docs for container support.