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sgl-project/sglang

Establishedrank #150

SGLang is a high-performance serving framework for large language models and multimodal models.

36.5k+222 · 7d 9.2k 357est. Apache-2.0Pythonpushed 5m ago
Compare View on GitHub

Composite

69

conf 65%

Momentum

56

conf 60%

Vitality (PVI)

74

conf 67%

Community

55

conf 60%

Security & maint.

95

conf 85%

Ecosystem influence

71

conf 60%

Opportunity

55

conf 60%

Breakout · 7d

36%

conf 71%

Executive summary

sglang is currently classified as established with a composite score of 69/100. Momentum (56) and vitality (74) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 222 stars against a 36.5k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 36%.

90-day trajectory

+1.1k · 30d
2026-07-012026-09-28

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%65
Star accelerationest.15%44
Fork velocityest.10%47
Contributor growthest.10%91
Issue activity growthest.10%73
PR activity growthest.10%58
External mention velocityest.10%6
Release event impactest.5%61
Trending-rank persistenceest.5%49

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

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%66
PR responsivenessest.15%82
Issue responsivenessest.15%34
Contributor diversityest.10%95
Maintainer continuityest.10%69
Documentation qualityest.5%72
Dependency freshnessest.5%74
Security hygieneest.5%64

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

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%100
Dependency stalenessest.15%76
Bus factorest.15%100

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

Ecosystem influence

Dependent repositoriesest.30%96
Quality-weighted dependentsest.20%77
Documentation citationsest.15%63
Contributor overlapest.15%33
Registry adoptionest.10%24
Topic centralityest.10%100

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