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Optimising the operation of physical systems can lead to significant energy savings. This underscores the importance of researchers, planners and operators to focus on innovative control strategies. \textbf{SOFIRpy}, a framework for co-simulation of functional mock-up units (FMUs) with integrated research data management proposed in this paper, aims to assist them in studying and implementing these novel approaches. \textbf{SOFIRpy} provides tools for building FMUs from models of physical systems written in Modelica, implementing custom controllers, running co-simulations and performing research data management (RDM). It is a Python package hosted on PyPI, adhering to best practices in research software engineering.
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