DOODS2 vs motionEye
A side-by-side comparison of two self-hosted video surveillance options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | DOODS2 | motionEye |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 50 · Fair | 89 · Excellent |
| Category | Video Surveillance | Video Surveillance |
| License | MIT | GPL-3.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Easy |
| Min. RAM | 1,024 MB | 512 MB |
| Deployment | docker | docker, bare-metal |
| GitHub stars | ★ 277 | ★ 4,685 |
| First released | 2020 | 2013 |
| Replaces | Nest Cam | Nest Cam |
What are DOODS2 and motionEye?
DOODS2
DOODS2 is a dedicated open object detection service written in Python. It exposes REST and gRPC APIs for running detection on images and video streams, supports Coral EdgeTPU and GPU acceleration, and is commonly paired with NVR software rather than being an NVR itself.
- Standalone object detection service
- REST and gRPC APIs
- Coral and GPU support
- Integrates with NVR software
motionEye
motionEye is a web-based frontend for the Motion surveillance daemon, making it easy to manage cameras and recordings. It is popular for building DIY surveillance systems on Raspberry Pi hardware.
- Web frontend for Motion
- Motion detection recording
- Raspberry Pi friendly
- Multiple camera support
DOODS2 vs motionEye: key differences
Both projects are written in Python. Licensing differs — MIT for DOODS2 versus GPL-3.0 for motionEye. MotionEye is the lighter option, starting around 512 MB of RAM against 1,024 MB for DOODS2. MotionEye is the more established project (first released 2013), while DOODS2 arrived in 2020. MotionEye has the considerably larger community, at 4,685 GitHub stars versus 277.
Why pick each one
Choose DOODS2 if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Written in Python
Watch out for
- Detection service only
- Needs an NVR to pair with
Choose motionEye if…
- Easy to set up
- Great for DIY builds
Watch out for
- Aging codebase
- Limited modern AI detection
Frequently asked questions
Is DOODS2 or motionEye better?
motionEye is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider DOODS2 if its specific feature set fits your needs better.
Are DOODS2 and motionEye free and open-source?
Yes. DOODS2 is licensed under MIT and motionEye under GPL-3.0. Both can be self-hosted at no software cost.
Can I run DOODS2 and motionEye with Docker?
DOODS2: yes. motionEye: yes.
Which is lighter on resources, DOODS2 or motionEye?
motionEye has the smaller minimum footprint at 512 MB of RAM, compared to about 1,024 MB for DOODS2. Real-world usage depends on library size, user count, and enabled features.