Biguá Analyzer
Open-source independent research

Open source projects leave structural signals.

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.

Public repository available 10 public releases Metrics, reports, and plots

What Biguá Analyzer is

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.

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.

Security-relevant framing

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.

Built in the open

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.

Repository highlights

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.

Public releases and documentation

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.

Operational outputs

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.

Open project signals

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.

Research overview

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.

What you will find

  • CLI analysis for single repos or repository datasets
  • CSV and JSONL outputs for downstream research workflows
  • AI-assisted report generation in Markdown and HTML
  • Research-ready plot generation from analyzer CSV output

Notes

  • The site keeps the research description at a high level and points visitors to the public repository for depth.
  • Detailed results, release artifacts, and documentation live in GitHub so the website can stay lightweight.
  • Contact is open for collaboration, sponsorship, citation, and general project inquiries.