Dipy is a free and open-source software project for analyzing diffusion magnetic resonance imaging (dMRI) data. It provides implementations of various methods for dMRI analysis, including signal preprocessing, reconstruction of diffusion distributions, fiber tractography, and visualization. Dipy aims to offer a transparent and uniform programming interface for all steps of dMRI analysis. The project is developed collaboratively by researchers from multiple institutions and countries, leveraging the Python ecosystem for scientific computing. Dipy supports classical techniques like diffusion tensor imaging (DTI) and advanced methods such as constrained spherical deconvolution and diffusion spectrum imaging (DSI). It also includes utility functions for statistical analysis, visualization, and file handling. The software is designed to facilitate reproducible research and is well-documented, making it accessible to researchers with varying levels of expertise.Dipy is a free and open-source software project for analyzing diffusion magnetic resonance imaging (dMRI) data. It provides implementations of various methods for dMRI analysis, including signal preprocessing, reconstruction of diffusion distributions, fiber tractography, and visualization. Dipy aims to offer a transparent and uniform programming interface for all steps of dMRI analysis. The project is developed collaboratively by researchers from multiple institutions and countries, leveraging the Python ecosystem for scientific computing. Dipy supports classical techniques like diffusion tensor imaging (DTI) and advanced methods such as constrained spherical deconvolution and diffusion spectrum imaging (DSI). It also includes utility functions for statistical analysis, visualization, and file handling. The software is designed to facilitate reproducible research and is well-documented, making it accessible to researchers with varying levels of expertise.