Modeling Dependency-Propagated Ecosystem Impact of Changes in Maintenance Activities: Evaluating Support Strategies in the PyPI Network

A pre-collected dataset (17 February 2026) is already included in the analysis package, so re-running data collection is optional.</p><p dir="ltr"><b>Data Analysis Package:</b></p><ul><li>No external API dependencies</li><li>Pre-computed results are included and can be inspected directly</li></ul><p dir="ltr"><b>Setup (for both packages):</b></p><ol><li>Create a virtual environment</li><li>Activate the environment</li><li>Install dependencies from requirements.txt</li></ol><p dir="ltr">Refer to the README files inside each archive for:</p><ul><li>credential configuration</li><li>pipeline execution</li><li>application usage</li></ul><p dir="ltr">Relevant files:</p><ul><li>Replication_Package_Data_Collection/README.md</li><li>Replication_Package_Data_Analysis/README.md</li></ul><h3 dir="ltr">Data Description</h3><p dir="ltr">The dataset aggregates PyPI registry metadata and GitHub repository data collected on <b>17 February 2026</b>, covering the full PyPI ecosystem.</p><p dir="ltr">It includes:</p><ul><li>repository URLs</li><li>maintainer and organization information</li><li>sponsorship metadata</li><li>contact reachability indicators</li><li>download statistics</li><li>dependency declarations</li><li>OSSF maintenance scores</li></ul><p dir="ltr">All data was collected using publicly available tools and APIs:</p><ul><li>PyPI JSON API</li><li>GitHub REST and GraphQL APIs</li><li>PePy API</li><li>OSSF Scorecard CLI</li></ul><p><br></p>