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bojieli/ai-infra-book

Emergingrank #56

《深入理解 AI Infra：量化分析与系统设计》（李博杰 著）开源书稿：从硬件约束和模型架构出发，量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验

5.4k+4.1k · 7d 388 44est. Apache-2.0Pythonpushed 2d ago
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Composite

74

conf 65%

Momentum

72

conf 60%

Vitality (PVI)

74

conf 67%

Community

63

conf 60%

Security & maint.

87

conf 85%

Ecosystem influence

73

conf 60%

Opportunity

59

conf 60%

Breakout · 7d

67%

conf 71%

Executive summary

ai-infra-book is currently classified as emerging with a composite score of 74/100. Momentum (72) and vitality (74) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 4,127 stars against a 5.4k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 67%.

90-day trajectory

+16.7k · 30d
2026-06-302026-09-27

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%53
Fork velocityest.10%100
Contributor growthest.10%47
Issue activity growthest.10%11
PR activity growthest.10%58
External mention velocityest.10%100
Release event impactest.5%76
Trending-rank persistenceest.5%73

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

Project Vitality Index

Commit consistency20%95
Release cadenceest.15%55
PR responsivenessest.15%82
Issue responsivenessest.15%85
Contributor diversityest.10%61
Maintainer continuityest.10%69
Documentation qualityest.5%65
Dependency freshnessest.5%59
Security hygieneest.5%54

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

Security & maintenance

Release recency25%96
License clarity20%92
Maintenance status25%95
Dependency stalenessest.15%87
Bus factorest.15%53

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

Ecosystem influence

Dependent repositoriesest.30%67
Quality-weighted dependentsest.20%69
Documentation citationsest.15%76
Contributor overlapest.15%68
Registry adoptionest.10%78
Topic centralityest.10%100

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