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deepseek-ai/DeepInfer

Establishedrank #95

DeepInfer: High-performance, large-scale inference framework for DeepSeek models

16.6k+46k · 7d 1.7k 97est. Apache-2.0Pythonpushed 7h ago
Compare View on GitHub

Composite

72

conf 65%

Momentum

79

conf 60%

Vitality (PVI)

70

conf 67%

Community

55

conf 60%

Security & maint.

89

conf 85%

Ecosystem influence

64

conf 60%

Opportunity

67

conf 60%

Breakout · 7d

46%

conf 71%

Executive summary

DeepInfer is currently classified as established with a composite score of 72/100. Momentum (79) and vitality (70) diverge — attention is running ahead of maintenance depth. Estimated 7-day gain of 46,006 stars against a 16.6k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 46%.

90-day trajectory

+219.7k · 30d
2026-07-242026-10-21

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%100
Star accelerationest.15%45
Fork velocityest.10%100
Contributor growthest.10%81
Issue activity growthest.10%85
PR activity growthest.10%46
External mention velocityest.10%100
Release event impactest.5%84
Trending-rank persistenceest.5%34

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

Project Vitality Index

Commit consistency20%99
Release cadenceest.15%83
PR responsivenessest.15%40
Issue responsivenessest.15%52
Contributor diversityest.10%74
Maintainer continuityest.10%67
Documentation qualityest.5%56
Dependency freshnessest.5%63
Security hygieneest.5%76

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

Security & maintenance

Release recency25%99
License clarity20%92
Maintenance status25%99
Dependency stalenessest.15%65
Bus factorest.15%78

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

Ecosystem influence

Dependent repositoriesest.30%80
Quality-weighted dependentsest.20%78
Documentation citationsest.15%37
Contributor overlapest.15%69
Registry adoptionest.10%68
Topic centralityest.10%19

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