Structural by design
The framework examines contribution concentration, contributor redundancy, turnover, release cadence, and historical participation patterns that can help explain resilience or fragility.
Independent open-source research
Repository structure still tells a story.
Biguá Analyzer studies contribution concentration, contributor redundancy, turnover, historical participation, activity dynamics, and inferred AI influence so AppSec and engineering teams can reason about OSS resilience beyond CVEs alone.
Structural OSS framework
AppSec-oriented interpretation
Open research materials
What Biguá Analyzer Is
Biguá Analyzer was created to study whether public repository data can reveal meaningful signals about open-source project health, continuity, and dependency risk. The emphasis is sociotechnical structure, not code authorship claims.
Security-relevant framing
Structural analysis complements CVEs, advisories, and security posture checks by adding context about maintainership, knowledge redundancy, and continuity risk.
Built in the open
The public repository includes code, releases, citation metadata, community guidance, security reporting information, and research-oriented documentation.
Published research
Research Now Published
Explore how contribution concentration, contributor redundancy, turnover, historical participation, and inferred AI influence affect structural OSS assessment.