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patchy631/ai-engineering-hub

Establishedrank #110

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

39.8k+3.3k · 7d 6.5k 287est. MITJupyter Notebookpushed 9h ago
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Composite

72

conf 65%

Momentum

66

conf 60%

Vitality (PVI)

75

conf 67%

Community

60

conf 60%

Security & maint.

91

conf 85%

Ecosystem influence

71

conf 60%

Opportunity

61

conf 60%

Breakout · 7d

47%

conf 71%

Executive summary

ai-engineering-hub is currently classified as established with a composite score of 72/100. Momentum (66) and vitality (75) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 3,323 stars against a 39.8k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 47%.

90-day trajectory

+10.9k · 30d
2026-08-042026-11-01

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%48
Fork velocityest.10%74
Contributor growthest.10%73
Issue activity growthest.10%67
PR activity growthest.10%83
External mention velocityest.10%18
Release event impactest.5%89
Trending-rank persistenceest.5%49

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

Project Vitality Index

Commit consistency20%99
Release cadenceest.15%71
PR responsivenessest.15%59
Issue responsivenessest.15%53
Contributor diversityest.10%91
Maintainer continuityest.10%83
Documentation qualityest.5%72
Dependency freshnessest.5%54
Security hygieneest.5%71

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

Security & maintenance

Release recency25%99
License clarity20%92
Maintenance status25%99
Dependency stalenessest.15%55
Bus factorest.15%97

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

Ecosystem influence

Dependent repositoriesest.30%92
Quality-weighted dependentsest.20%77
Documentation citationsest.15%61
Contributor overlapest.15%40
Registry adoptionest.10%23
Topic centralityest.10%100

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