Lucid provides infrastructure and tools for neural network interpretability research, enabling researchers to visualize what neural networks learn and how they process information. It offers Jupyter notebook-based tutorials and implements visualization techniques like DeepDream, activation maximization, and feature inversion. The library is built on TensorFlow 1.x and is designed specifically for research exploration rather than production use.