Scikit-mobility is a library for human mobility analysis in Python. The library allows to: represent trajectories and mobility flows with proper data structures, TrajDataFrame and FlowDataFrame; manage and manipulate mobility data of various formats (call detail records, GPS data, data from Location Based Social Networks, survey data, etc.); extract human mobility metrics and patterns from data, both at individual and collective level (e.g., length of displacements, characteristic distance, origin-destination matrix, etc.); generate synthetic individual trajectories using standard mathematical models (random walk models, exploration and preferential return model, etc.); generate synthetic mobility flows using standard migration models (gravity model, radiation model, etc.); assess the privacy risk associated with a mobility dataset.