PINA is a unified framework built on PyTorch, PyTorch Lightning, and PyTorch Geometric that simplifies the development of Scientific Machine Learning solutions. It provides an intuitive API for defining and solving complex problems using neural networks, physics-informed neural networks (PINNs), and neural operators. The library targets researchers and engineers working on differential equations, PDEs, ODEs, and equation learning in scientific domains.