The floodlight Python package provides a framework to support and automate team sport data analysis. floodlight is constructed to process spatiotemporal tracking data, event data, and other game meta-information to support scientific performance analyses. floodlight was designed to provide a general yet flexible approach to performance analysis, while simultaneously providing a user-friendly high-level interface for users with basic programming skills. The package includes routines for most aspects of the data analysis process, including dedicated data classes, file parsing functionality, public dataset APIs, pre-processing routines, common data models and several standard analysis algorithms previously used in the literature, as well as basic visualization functionality.