The contract concerns the ‘skforecast’ project, a Python-based open-source programming library used for time-series forecasting using machine-learning models. The work on the project involves maintaining and modernizing this programming library to ensure its integration with the Python ecosystem and its usability within the relevant technical domain. As part of several work packages, the contract includes, amongst other things, the review of dependency compatibility, cross-platform testing, the validation of CI/CD, improvements to input validation, and measures to ensure supply chain security. The aim is to strengthen the reliability, security and long-term maintainability of an open ‘forecasting’ infrastructure that supports operational decision-making processes in critical sectors such as energy, logistics, finance and academic research.