Haiku is a Python library that provides simple, composable primitives for building neural networks on top of JAX. It offers module abstractions, random number generation utilities, and common neural network components similar to Sonnet (for PyTorch) or Flax. The library is primarily used for defining, training, and evaluating deep learning models in research settings.