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ostris/ai-toolkit

Coolingrank #203

The ultimate training toolkit for finetuning diffusion models

12.2k+27 · 7d 1.6k 102est. MITPythonpushed 11h ago

Composite

63

conf 65%

Momentum

41

conf 60%

Vitality (PVI)

72

conf 67%

Community

67

conf 60%

Security & maint.

87

conf 85%

Ecosystem influence

62

conf 60%

Opportunity

48

conf 60%

Breakout · 7d

9%

conf 71%

Executive summary

ai-toolkit is currently classified as cooling with a composite score of 63/100. Momentum (41) and vitality (72) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 27 stars against a 12.2k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 9%.

90-day trajectory

+175 · 30d
2026-07-122026-10-09

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%40
Star accelerationest.15%33
Fork velocityest.10%17
Contributor growthest.10%51
Issue activity growthest.10%69
PR activity growthest.10%61
External mention velocityest.10%2
Release event impactest.5%63
Trending-rank persistenceest.5%58

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

Project Vitality Index

Commit consistency20%99
Release cadenceest.15%83
PR responsivenessest.15%43
Issue responsivenessest.15%63
Contributor diversityest.10%75
Maintainer continuityest.10%64
Documentation qualityest.5%78
Dependency freshnessest.5%69
Security hygieneest.5%62

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

Security & maintenance

Release recency25%99
License clarity20%92
Maintenance status25%99
Dependency stalenessest.15%56
Bus factorest.15%71

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

Ecosystem influence

Dependent repositoriesest.30%79
Quality-weighted dependentsest.20%68
Documentation citationsest.15%44
Contributor overlapest.15%70
Registry adoptionest.10%65
Topic centralityest.10%5

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