PyTorch Forecasting is a library for building and training deep learning models for time series forecasting. It provides high-level APIs and implements state-of-the-art neural network architectures optimized for temporal prediction tasks. The library uses PyTorch Lightning to handle distributed training across GPU or CPU, with automatic logging and scaling capabilities.