IFSoftpy: intuitionistic fuzzy soft set measures python library

In this study, a Python library (IFSoftpy) for similarity and distance metrics for intuitionistic fuzzy soft sets (IFSS). is proposed. The IFSoftpy library features a fresh implementation of Python code which allows users to perform similarity and distance metric calculations on IFSS. The research develops a standard framework for IFSS calculations focusing on medical diagnostic applications by evaluating different measures and creating this computational toolkit which integrates multiple metrics reported across the literature and offers flexible tools for IFSS-based evaluation. These implementations show their clinical worth in medical diagnosis case studies that strengthen their operational ability for healthcare decisions. The solution fills a theoretical-practical void in fuzzy soft computing science through its open-source delivery mode which extends accessibility along with reproducibility benefits to the research community.