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deepspeedai/DeepSpeed

Establishedrank #103

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

43.3k+95 · 7d 5.1k 250est. Apache-2.0Pythonpushed 13m ago

Composite

69

conf 65%

Momentum

54

conf 60%

Vitality (PVI)

74

conf 67%

Community

60

conf 60%

Security & maint.

94

conf 85%

Ecosystem influence

72

conf 60%

Opportunity

62

conf 60%

Breakout · 7d

45%

conf 71%

Executive summary

DeepSpeed is currently classified as established with a composite score of 69/100. Momentum (54) and vitality (74) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 95 stars against a 43.3k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 45%.

90-day trajectory

+407 · 30d
2026-08-012026-10-29

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%55
Star accelerationest.15%50
Fork velocityest.10%37
Contributor growthest.10%63
Issue activity growthest.10%79
PR activity growthest.10%66
External mention velocityest.10%2
Release event impactest.5%87
Trending-rank persistenceest.5%79

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

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%58
PR responsivenessest.15%76
Issue responsivenessest.15%38
Contributor diversityest.10%89
Maintainer continuityest.10%89
Documentation qualityest.5%72
Dependency freshnessest.5%86
Security hygieneest.5%43

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

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%100
Dependency stalenessest.15%85
Bus factorest.15%88

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

Ecosystem influence

Dependent repositoriesest.30%90
Quality-weighted dependentsest.20%66
Documentation citationsest.15%36
Contributor overlapest.15%65
Registry adoptionest.10%64
Topic centralityest.10%100

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