Pastas

Pastas builds statistical-physical models of groundwater level time series: the observed head is explained as the sum of responses to drivers such as rainfall, evaporation, well pumping and river stage, using response functions. After calibration you can see how much each driver contributes, fill gaps, detect trends and estimate the drawdown caused by pumping. Hydrogeologists use it to check monitoring data, forecast heads and assess well impacts. Limitation: it is a Python library without a graphical interface, so you need to know pandas and work in notebooks.