This work presents a Python-based tool aimed at better understanding the watershed response by overcoming some of the simplifications specially made in modelling flood hydrographs. By leveraging GIS capabilities, the tool uses spatially distributed data for a more accurate representation of basin characteristics and processes. The capability to analyze both synthetic and historical precipitation makes the tool useful to assess catchment responses under various scenarios. This is particularly valuable for studying phenomena like flood hydrographs, where accurate predictions are essential for risk assessment and management. The tool has been tested on Sicilian catchments with the aim of deriving the catchment response to both synthetic and historical precipitation and proving a promising step forward in hydrological modeling.