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Open source software (OSS) underpins modern software infrastructure, yet many projects struggle with long- term sustainability. We introduce OSSPREY, an AI-powered platform that can predict the sustainability of any GitHub- hosted project. OSSPREY collects longitudinal socio-technical data, such as: commits, issues, and contributor interactions, and uses a transformer-based model to generate month-by-month sustainability forecasts. When project downturns are detected, it recommends evidence-based interventions drawn from published software engineering studies. OSSPREY integrates scraping, forecasting, and actionable guidance into an interactive dash- board, enabling maintainers to monitor project health, anticipate decline, and respond with targeted strategies. By connecting real- time project data with research-backed insights, OSSPREY offers a practical tool for sustaining OSS projects at scale. The codebase is linked to the project website at: https: //oss-prey.github.io/OSSPREY-Website/ The screencast is available at: https://www.youtube.com/ watch?v=N7a0v4hPylUmore » « lessFree, publicly-accessible full text available November 20, 2026
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Tueller, Peter; Maddukuri, Raghav; Paxson, Patrick; Suresh, Vivaswat; Ashok, Arjun; Bland, Madison; Wallace, Ronan; Guerrero, Julia; Semmens, Brice; Kastner, Ryan (, MTS/IEEE Oceans)
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Wang, Yizhong; Mishra, Swaroop; Alipoormolabashi, Pegah; Kordi, Yeganeh; Mirzaei, Amirreza; Naik, Atharva; Ashok, Arjun; Dhanasekaran, Arut Selvan; Arunkumar, Anjana; Stap, David; et al (, EMNLP)
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