osl-dynamics is a Python toolbox for studying brain dynamics using neuroimaging data: MEG, EEG and fMRI. It provides generative models that decompose data into brain networks, including the Hidden Markov Model (HMM) and Dynamic Network Modes (DyNeMo), along with data preparation, spectral estimation, network visualisation and statistical significance testing.