CompreFace vs Sighthound Surveillance Station
A side-by-side comparison of two self-hosted video surveillance options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
CompreFace
Self-hosted face recognition service with REST API
VS
Sighthound Surveillance Station
NVR with object detection for connected IP cameras
| Feature | CompreFace | Sighthound Surveillance Station |
|---|---|---|
| Category | Video Surveillance | Video Surveillance |
| License | Apache-2.0 | MIT |
| Language | Java | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 4,096 MB | 1,024 MB |
| Deployment | docker | docker |
| GitHub stars | ★ 8,173 | ★ 276 |
| First released | 2020 | 2020 |
| Replaces | Amazon Rekognition | Nest Cam |
Why pick each one
Choose Sighthound Surveillance Station if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Written in Python
Frequently asked questions
Is CompreFace or Sighthound Surveillance Station better?
Neither is universally better. CompreFace has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are CompreFace and Sighthound Surveillance Station free and open-source?
Yes. CompreFace is licensed under Apache-2.0 and Sighthound Surveillance Station under MIT. Both can be self-hosted at no software cost.
Can I run CompreFace and Sighthound Surveillance Station with Docker?
CompreFace: yes. Sighthound Surveillance Station: yes.