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QuipNetwork/hashsigs-py

Establishedrank #121

No description provided.

11.2k+618 · 7d 28 11est. AGPL-3.0Pythonpushed 23m ago
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Composite

65

conf 65%

Momentum

54

conf 60%

Vitality (PVI)

78

conf 67%

Community

56

conf 60%

Security & maint.

80

conf 85%

Ecosystem influence

57

conf 60%

Opportunity

59

conf 60%

Breakout · 7d

41%

conf 71%

Executive summary

hashsigs-py is currently classified as established with a composite score of 65/100. Momentum (54) and vitality (78) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 618 stars against a 11.2k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 41%.

90-day trajectory

+2.8k · 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%78
Star accelerationest.15%48
Fork velocityest.10%67
Contributor growthest.10%33
Issue activity growthest.10%0
PR activity growthest.10%51
External mention velocityest.10%53
Release event impactest.5%87
Trending-rank persistenceest.5%53

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

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%91
PR responsivenessest.15%84
Issue responsivenessest.15%89
Contributor diversityest.10%40
Maintainer continuityest.10%66
Documentation qualityest.5%44
Dependency freshnessest.5%80
Security hygieneest.5%36

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

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%100
Dependency stalenessest.15%45
Bus factorest.15%34

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

Ecosystem influence

Dependent repositoriesest.30%43
Quality-weighted dependentsest.20%74
Documentation citationsest.15%61
Contributor overlapest.15%68
Registry adoptionest.10%76
Topic centralityest.10%22

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