Chainer is a neural network framework that uses a define-by-run approach for dynamic computational graphs, enabling flexible model definition during execution. It supports GPU acceleration via CUDA and cuDNN, automatic differentiation, and provides object-oriented high-level APIs for building and training deep learning models. The framework is now in maintenance mode with active development limited to bug fixes.