PINA is an open-source Python library that streamlines Scientific Machine Learning (SciML) development using PyTorch. It organizes workflows into four stages—problem definition, model design, solver selection, and training—allowing researchers to efficiently model and simulate complex systems. Its modular design supports a variety of data types and integration with existing PyTorch tools.