ptflops is a computational complexity analysis tool for PyTorch models. It supports two backends: a legacy pytorch backend for CNN layer analysis and an aten backend that covers transformer architectures and aten operations. The library can compute FLOPs, parameter counts, and print per-module statistics, making it useful for model benchmarking, optimization, and comparing architectures during research and development.