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OUSPG-PRISM

Platform for Repository Intelligence and Software Metrics

PRISM is a suite of tools for studying the impact of AI inflection points on measurable outcomes. The primary application is open-source software development — tracking ~1,380 GitHub repositories across six analytical domains and five temporal cohorts — but the analysis tools are data-agnostic and can be applied to any time-series data (financial markets, job postings, industry trends, etc.).

Tools

Tool Description
prism-collect Data collection engine — mirrors PR metadata and repository snapshots from the GitHub GraphQL API into a local PostgreSQL database
prism-analyze Statistical analysis engine — detects whether AI inflection points caused structural breaks in any time-series data (ITS, DiD, Bai-Perron)
prism-dashboard (coming soon) Visualization and reporting interface

Repository structure

PRISM/
├── prism-collect/   # Collection engine (CLI + PostgreSQL backend)
├── prism-analyze/   # Analysis engine (ITS / DiD / structural break detection)
└── prism-dashboard/ # Dashboard / reporting

License

AGPL-3.0-or-later.

Citation

@software{ouspg_prism,
  title  = {OUSPG-PRISM: Platform for Repository Intelligence and Software Metrics},
  author = {OUSPG},
  year   = {2026},
  url    = {https://github.com/ouspg/prism}
}

About

PRISM is a data-collection engine and queryable archive for studying how AI-mediated contributions reshape open-source ecosystems. It mirrors structured PR metadata and repository snapshots from the GitHub GraphQL API into a local PostgreSQL database, tracking ~1,380 repositories across six analytical domains.

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