dashi is a Python library for analyzing and characterising temporal and multi-source dataset shifts. It offers unsupervised and supervised tools for quantifying and visualising covariate, concept, and prior shifts, supporting trustworthy artificial intelligence development and evaluation.
           
Funded by Agencia Estatal de Investigación—Proyectos de Generación de Conocimiento 2022, project KINEMAI (PID2022-138636OA-I00).
dashi@upv.es   Principal Investigator: Carlos Sáez