AbstractVisualizations of networks are complex since they are multidimensional and generally convey large amounts of information. The layout of the visualization can communicate either network properties or spatial properties of the network. Generating such figures to effectively convey information and be accurate can be difficult and time-consuming, and it can require expert knowledge. Here, we introduceNetPlotBrain(short fornetwork plots onto brains), a Python package for Python 3.9+. The package offers several advantages. First,NetPlotBrainprovides a high-level interface to easily highlight and customize results of interest. Second, it presents a solution to promote accurate plots through its integration withTemplateFlow. Third, it integrates with other Python software, allowing for easy integration to include networks fromNetworkXor implementations of network-based statistics. In sum,NetPlotBrainis a versatile but easy to use package designed to produce high-quality network figures while integrating with open research software for neuroimaging and network theory.