Open-Source AI · ML frameworks & MLOps

CVAT vs DVC

CVAT vs DVC compared for 2026 — features, license, ease of use, performance and which one to choose. Serious annotation for computer vision vs Git for datasets and models.

Updated regularly · curated by OpenSourceAI.tech

Choose CVAT for computer vision datasets, especially video. Choose DVC for reproducing a result six months later, exactly.

CVAT vs DVC at a glance

SpecCVATDVC
CategoryML frameworks & MLOpsML frameworks & MLOps
TypeVideo & image annotationData versioning
LicenseMITApache-2.0
Runs locallyYesYes
Primary languagePythonPython
Ease of useIntermediateIntermediate
Best forcomputer vision datasets, especially videoreproducing a result six months later, exactly
GitHub stars16.3k15.8k

How CVAT and DVC score

🤝 Too close to call — CVAT and DVC land within a hair (4.4 vs 4.4 / 5). Pick on fit, not on score.
CriterionCVATDVC
Popularity3.53.5
Maintenance5.05.0
Ease of use3.53.5
Privacy5.05.0
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

CVAT

Video & image annotation · MIT

CVAT is the professional annotation tool for video and images — bounding boxes, polygons, skeletons, with interpolation across frames.

  • Interpolation makes video annotation bearable
  • Automatic annotation with your own models
  • Used by large annotation teams
See the CVAT page →

DVC

Data versioning · Apache-2.0

DVC versions the data and the models that Git cannot hold, keeping the whole pipeline reproducible from a commit hash.

  • Works alongside Git, not against it
  • Storage-agnostic (S3, GCS, SSH, local)
  • Makes pipelines reproducible by construction
See the DVC page →

Key differences

CVAT is video & image annotation, while DVC is data versioning. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. In short, CVAT fits computer vision datasets, especially video, and DVC fits reproducing a result six months later, exactly.

Which should you choose?

Choose CVAT for computer vision datasets, especially video. Choose DVC for reproducing a result six months later, exactly.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is CVAT or DVC easier to use?

Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.

Are CVAT and DVC free?

CVAT is free and open source (MIT), and DVC is free and open source (Apache-2.0). Neither charges for the core software.

Can I run CVAT and DVC locally?

CVAT: yes · DVC: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

CVAT vs DVC — which should I pick in 2026?

Choose CVAT for computer vision datasets, especially video. Choose DVC for reproducing a result six months later, exactly.

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