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MobSF/Mobile-Security-Framework-MobSF

Establishedrank #153

Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.

22k+120 · 7d 3.8k 210est. GPL-3.0Pythonpushed 5m ago
Compare View on GitHub

Composite

69

conf 65%

Momentum

52

conf 60%

Vitality (PVI)

77

conf 67%

Community

58

conf 60%

Security & maint.

90

conf 85%

Ecosystem influence

79

conf 60%

Opportunity

54

conf 60%

Breakout · 7d

54%

conf 71%

Executive summary

Mobile-Security-Framework-MobSF is currently classified as established with a composite score of 69/100. Momentum (52) and vitality (77) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 120 stars against a 22k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 54%.

90-day trajectory

+467 · 30d
2026-07-272026-10-24

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%58
Star accelerationest.15%55
Fork velocityest.10%42
Contributor growthest.10%91
Issue activity growthest.10%23
PR activity growthest.10%73
External mention velocityest.10%5
Release event impactest.5%84
Trending-rank persistenceest.5%36

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

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%93
PR responsivenessest.15%46
Issue responsivenessest.15%76
Contributor diversityest.10%86
Maintainer continuityest.10%67
Documentation qualityest.5%58
Dependency freshnessest.5%67
Security hygieneest.5%73

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

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%100
Dependency stalenessest.15%49
Bus factorest.15%92

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

Ecosystem influence

Dependent repositoriesest.30%88
Quality-weighted dependentsest.20%80
Documentation citationsest.15%72
Contributor overlapest.15%73
Registry adoptionest.10%51
Topic centralityest.10%100

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