High-quality visualizations can be used interactively and exported as high-resolution figures and animated videos. Brainrender facilitates the creation of complex renderings with different data types in the same visualization and enables seamless use of different atlas sources. Here, we present brainrender: an open-source Python package for interactive visualization of multidimensional datasets registered to brain atlases. Currently available software is dedicated to single atlases, model species or data types, and generating 3D renderings that merge anatomically registered data from diverse sources requires extensive development and programming skills. Generating insights from such datasets depends critically on visualization and interactive data exploration, but this a challenging task. Three-dimensional (3D) digital brain atlases and high-throughput brain-wide imaging techniques generate large multidimensional datasets that can be registered to a common reference frame.
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