Here, we introduce the publicly available Python package CaloCem (. com/mj-hofmann/CaloCem) for conveniently determining quantitative values from isothermal heat flow calorimetry data. Python packages that focus on processing differential scanning calorimetry and isothermal titration calorimetry Our approach's key idea is to leverage an ordered folder structure on the file system of a local PC or shared network drive, which is then utilized as a locally available raw data repository. The dedicated Python package CaloCem provides a programmatic interface to this specific type of experimental data repository . In particular, we propose an object-oriented approach for loading, processing, plotting, and augmenting the experimental data with metadata providing information on the respective samples.