CVAT vs Supervisely
A side-by-side comparison of CVAT and Supervisely, two Vision tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Supervisely
VisionAll-in-one computer vision platform to curate, label, and train models.
View SuperviselyAt a glance
| Attribute | CVAT | Supervisely |
|---|---|---|
| Category | Vision | Vision |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Open core | Proprietary |
| Deployment | Hybrid | Hybrid |
| Platforms | Web, API | Web, API |
| Model support (differs) | Model-agnostic | Multi-model |
| Vendor (differs) | CVAT.ai | Supervisely |
| Capabilities (differs) |
|
|
The honest brief
CVAT
One of the most widely deployed open-source CV labeling tools — millions of self-hosted installs, deep video tooling, and free MIT self-hosting.
- Boxes, polygons, keypoints, 3D, and video
- SAM 2/3-assisted auto-labeling
- Self-host, hosted Online, or Enterprise tiers
- Large community: 15k+ GitHub stars
- Self-hosting needs Docker ops effort
- Annotation only — no model training built in
Supervisely
Extensible 'OS for computer vision' — an installable app ecosystem spans labeling, training, and inference end to end.
- Images, video, 3D point cloud, DICOM
- AI-assisted labeling
- Installable app ecosystem
- Free tier and self-hostable Enterprise
- Broad platform has a learning curve
- Enterprise pricing is quote-based
- Heavier than a pure labeling tool
When to pick which
Across the signals we compare, CVAT and Supervisely differ on license:
- License
- Open core · Proprietary
Their capability lists differ in recorded depth — compare the full lists above before deciding.