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tigerless-labs/autoharness

Establishedrank #121

Building the self-learning layer next-gen agents will ship with, learning skills from real work.

10.6k+834 · 7d 645 50est. MITPythonpushed 1h ago

Composite

70

conf 65%

Momentum

65

conf 60%

Vitality (PVI)

76

conf 67%

Community

58

conf 60%

Security & maint.

88

conf 85%

Ecosystem influence

63

conf 60%

Opportunity

52

conf 60%

Breakout · 7d

35%

conf 71%

Executive summary

autoharness is currently classified as established with a composite score of 70/100. Momentum (65) and vitality (76) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 834 stars against a 10.6k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 35%.

90-day trajectory

+4.3k · 30d
2026-08-022026-10-30

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%81
Star accelerationest.15%42
Fork velocityest.10%79
Contributor growthest.10%59
Issue activity growthest.10%50
PR activity growthest.10%54
External mention velocityest.10%77
Release event impactest.5%88
Trending-rank persistenceest.5%44

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

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%57
PR responsivenessest.15%89
Issue responsivenessest.15%69
Contributor diversityest.10%63
Maintainer continuityest.10%75
Documentation qualityest.5%57
Dependency freshnessest.5%62
Security hygieneest.5%83

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

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%100
Dependency stalenessest.15%68
Bus factorest.15%60

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

Ecosystem influence

Dependent repositoriesest.30%71
Quality-weighted dependentsest.20%56
Documentation citationsest.15%64
Contributor overlapest.15%40
Registry adoptionest.10%48
Topic centralityest.10%100

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