Friendly Environment for Neural Networks (fenn) is an open-source framework that streamlines machine learning and deep learning workflows. It offers ready-to-use trainers, YAML-based configuration, automated logging, experiment tracking, real-time notifications, and reusable project templates. With fenn, researchers and developers can focus on models and data while the framework manages training, validation, testing, reproducibility, and repetitive infrastructure needed to run solid experiments efficiently.