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jamwithai/production-agentic-rag-course

Establishedrank #207

No description provided.

9.3k+1.1k · 7d 2.1k 151est. MITPythonpushed 4mo ago

Composite

54

conf 65%

Momentum

58

conf 60%

Vitality (PVI)

44

conf 67%

Community

75

conf 60%

Security & maint.

37

conf 85%

Ecosystem influence

57

conf 60%

Opportunity

60

conf 60%

Breakout · 7d

61%

conf 71%

Executive summary

production-agentic-rag-course is currently classified as established with a composite score of 54/100. Momentum (58) and vitality (44) diverge — attention is running ahead of maintenance depth. Estimated 7-day gain of 1,114 stars against a 9.3k-star base. Risk is assessed as elevated; the interpretable model puts its probability of entering the top trend cohort within 7 days at 61%.

90-day trajectory

+3.6k · 30d
2026-07-062026-10-03

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%75
Star accelerationest.15%58
Fork velocityest.10%59
Contributor growthest.10%55
Issue activity growthest.10%54
PR activity growthest.10%51
External mention velocityest.10%53
Release event impactest.5%36
Trending-rank persistenceest.5%36

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

Project Vitality Index

Commit consistency20%0
Release cadenceest.15%21
PR responsivenessest.15%42
Issue responsivenessest.15%74
Contributor diversityest.10%81
Maintainer continuityest.10%81
Documentation qualityest.5%39
Dependency freshnessest.5%60
Security hygieneest.5%39

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

Security & maintenance

Release recency25%0
License clarity20%92
Maintenance status25%0
Dependency stalenessest.15%52
Bus factorest.15%70

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

Ecosystem influence

Dependent repositoriesest.30%82
Quality-weighted dependentsest.20%60
Documentation citationsest.15%81
Contributor overlapest.15%25
Registry adoptionest.10%45
Topic centralityest.10%1

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