Structural by design
The project looks at patterns such as contribution concentration, contributor redundancy, turnover, maintenance dynamics, and other repository-visible signals that can inform how resilient or fragile a project may be.
Biguá Analyzer is an open-source research project focused on repository structure, contributor dynamics, and security-relevant signals that may help teams reason about software ecosystem resilience beyond CVEs alone.
Biguá Analyzer was created to study whether public repository data can reveal meaningful structural signals about open source software health, continuity, and dependency risk. The project is intentionally centered on sociotechnical structure rather than code authorship claims or vulnerability counts alone.
The project looks at patterns such as contribution concentration, contributor redundancy, turnover, maintenance dynamics, and other repository-visible signals that can inform how resilient or fragile a project may be.
The goal is not to replace vulnerability analysis. It is to complement it by giving security and engineering teams another lens for thinking about dependency evaluation, maintainer continuity, and ecosystem-level risk.
The public repository includes the analyzer itself, research-oriented documentation, release history, community guidance, and supporting materials for the broader research effort behind the project.
The live repository now exposes more than a simple code drop: it includes release history, citation metadata, community guidance, security reporting information, and multiple output modes for analysis and reporting.
The repository currently publishes tagged releases and ships dedicated materials such as a changelog, metrics documentation, and project docs that explain how the framework should be interpreted and used.
Beyond raw metrics extraction, the tool supports AI-assisted report generation and direct plot generation from CSV outputs, making the project more tangible for researchers and practitioners exploring repository datasets.
The repo includes CITATION.cff, CONTRIBUTING.md, CODE_OF_CONDUCT.md, SECURITY.md, and an MIT license, which together make the project look more complete and publication-ready.
The broader research asks whether the rise of AI-assisted development is changing the structural signals that define open source project resilience and fragility. The emphasis is on how repositories behave as sociotechnical systems, not on trying to prove authorship at the commit level.
Biguá Analyzer was developed as the analytical framework for that work, combining classical project-structure metrics with a documented inference layer intended to help interpret modern repository behavior more carefully.
Browse the public codebase, documentation, and project history on GitHub.
Track tagged versions, including the latest public release line for the analyzer.
Repository materials include metrics documentation, supporting project docs, and citation metadata for academic use.
Support helps sustain independent research, tooling refinement, and future public materials around the project.
Follow project updates and public notes on X.
This site is the public landing page for the project and a lightweight index to the main resources.