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cvat-ai/cvat

Coolingrank #180

CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

16.9k+33 · 7d 3.9k 231est. MITPythonpushed 7m ago
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Composite

65

conf 65%

Momentum

51

conf 60%

Vitality (PVI)

69

conf 67%

Community

63

conf 60%

Security & maint.

87

conf 85%

Ecosystem influence

69

conf 60%

Opportunity

51

conf 60%

Breakout · 7d

23%

conf 71%

Executive summary

cvat is currently classified as cooling with a composite score of 65/100. Momentum (51) and vitality (69) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 33 stars against a 16.9k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 23%.

90-day trajectory

+184 · 30d
2026-07-102026-10-07

Score breakdown

Every input, weight and normalized value — nothing hidden. Inputs marked est. are estimated until the full ingestion pipeline lands.

Momentum

Star velocityest.25%43
Star accelerationest.15%38
Fork velocityest.10%30
Contributor growthest.10%78
Issue activity growthest.10%99
PR activity growthest.10%84
External mention velocityest.10%2
Release event impactest.5%61
Trending-rank persistenceest.5%51

Model tn-interpretable-1.0.0 · confidence 60% · coverage 100%

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%61
PR responsivenessest.15%39
Issue responsivenessest.15%50
Contributor diversityest.10%88
Maintainer continuityest.10%75
Documentation qualityest.5%63
Dependency freshnessest.5%55
Security hygieneest.5%82

Model tn-interpretable-1.0.0 · confidence 67% · coverage 100%

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%100
Dependency stalenessest.15%49
Bus factorest.15%76

Model tn-interpretable-1.0.0 · confidence 85% · coverage 100%

Ecosystem influence

Dependent repositoriesest.30%88
Quality-weighted dependentsest.20%66
Documentation citationsest.15%62
Contributor overlapest.15%41
Registry adoptionest.10%37
Topic centralityest.10%100

Model tn-interpretable-1.0.0 · confidence 60% · coverage 92% · missing: packageRegistryAdoption