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fortra/impacket

Establishedrank #172

Impacket is a collection of Python classes for working with network protocols.

16k+66 · 7d 4k 170est. NOASSERTIONPythonpushed 4m ago
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Composite

68

conf 65%

Momentum

55

conf 60%

Vitality (PVI)

73

conf 67%

Community

66

conf 60%

Security & maint.

80

conf 85%

Ecosystem influence

72

conf 60%

Opportunity

63

conf 60%

Breakout · 7d

51%

conf 71%

Executive summary

impacket is currently classified as established with a composite score of 68/100. Momentum (55) and vitality (73) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 66 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 51%.

90-day trajectory

+267 · 30d
2026-05-172026-08-14

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%51
Star accelerationest.15%53
Fork velocityest.10%41
Contributor growthest.10%88
Issue activity growthest.10%84
PR activity growthest.10%53
External mention velocityest.10%4
Release event impactest.5%76
Trending-rank persistenceest.5%71

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

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%63
PR responsivenessest.15%66
Issue responsivenessest.15%46
Contributor diversityest.10%83
Maintainer continuityest.10%84
Documentation qualityest.5%72
Dependency freshnessest.5%58
Security hygieneest.5%71

Model tn-interpretable-1.0.0 · confidence 67% · coverage 92% · missing: licenseClarity

Security & maintenance

Release recency25%100
License clarity20%30
Maintenance status25%100
Dependency stalenessest.15%63
Bus factorest.15%98

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

Ecosystem influence

Dependent repositoriesest.30%88
Quality-weighted dependentsest.20%76
Documentation citationsest.15%34
Contributor overlapest.15%70
Registry adoptionest.10%46
Topic centralityest.10%100

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