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tracel-ai/burn

Establishedrank #167

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

16k+247 · 7d 1.1k 73est. Apache-2.0Rustpushed 6m ago
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Composite

68

conf 65%

Momentum

55

conf 60%

Vitality (PVI)

74

conf 67%

Community

57

conf 60%

Security & maint.

93

conf 85%

Ecosystem influence

72

conf 60%

Opportunity

56

conf 60%

Breakout · 7d

50%

conf 71%

Executive summary

burn is currently classified as established with a composite score of 68/100. Momentum (55) and vitality (74) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 247 stars against a 16k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 50%.

90-day trajectory

+1k · 30d
2026-07-052026-10-02

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%66
Star accelerationest.15%53
Fork velocityest.10%48
Contributor growthest.10%66
Issue activity growthest.10%77
PR activity growthest.10%44
External mention velocityest.10%14
Release event impactest.5%66
Trending-rank persistenceest.5%40

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

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%87
PR responsivenessest.15%66
Issue responsivenessest.15%51
Contributor diversityest.10%69
Maintainer continuityest.10%62
Documentation qualityest.5%74
Dependency freshnessest.5%88
Security hygieneest.5%39

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

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%100
Dependency stalenessest.15%90
Bus factorest.15%75

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

Ecosystem influence

Dependent repositoriesest.30%76
Quality-weighted dependentsest.20%70
Documentation citationsest.15%45
Contributor overlapest.15%78
Registry adoptionest.10%67
Topic centralityest.10%100

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