🤖 AI Summary
This study addresses the lack of systematic funding support research in open-source software, hindered by the absence of bulk APIs in GitHub Sponsors that limits large-scale analysis. To overcome this, we propose the first continuous observational framework for the GitHub sponsorship ecosystem, integrating priority-based graph traversal, daily incremental updates, and real-time normalization to enable efficient, scalable data collection and dynamic tracking. Within 72 hours, our system captured over 49,000 users across 144 countries, uncovering pronounced asymmetry in sponsorship behaviors and strong geographic concentration. We publicly release an interactive dashboard and a structured dataset to facilitate real-time community exploration and multidimensional analysis of GitHub sponsorship dynamics.
📝 Abstract
Financial sustainability is vital for open-source software, yet systematic research on funding remains limited. GitHub Sponsors, launched in 2019 as a direct developer-to-developer funding model, lacks bulk API access, hindering large-scale studies. This paper introduces a live, continuously operating observatory for tracking and analyzing the GitHub Sponsors ecosystem. The observatory performs priority-based graph traversal with daily incremental updates, real-time normalization, and exposes collected data through an interactive dashboard and analysis-ready CSV exports. A sample dataset collected during a 72-hour run captures 49K+ users across 144 countries and serves as an example of the tool's output, not a fixed deliverable. An interactive dashboard (https://github-sponsorships.com) enables practitioners and researchers to explore sponsorship patterns, filter by geography and demographics, and benchmark against funded peers. Preliminary results on the sample show strong participation asymmetries and geographic concentration, suggesting several research directions.