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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

CVAT

Vision

Open-source annotation platform for vision AI datasets.

View CVAT

Supervisely

Vision

All-in-one computer vision platform to curate, label, and train models.

View Supervisely

At a glance

Feature comparison of CVAT and Supervisely
AttributeCVATSupervisely
CategoryVisionVision
PricingFREEMIUMFREEMIUM
License (differs)Open coreProprietary
DeploymentHybridHybrid
PlatformsWeb, APIWeb, API
Model support (differs)Model-agnosticMulti-model
Vendor (differs)CVAT.aiSupervisely

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