Flow Forecast is an open-source deep learning library built on PyTorch that provides state-of-the-art models including transformers, attention models, LSTMs, and GRUs for time series tasks. It supports forecasting, classification, regression, and anomaly detection with interpretability metrics, cloud provider integration, and model serving capabilities. Originally developed for flood forecasting, it now serves as a general-purpose time series deep learning framework.