Visualization in three dimensions is now a must-have tool for scientific computation, engineering, geographic information systems (GIS), remote sensing, computational fluid dynamics (CFD), finite element analysis (FEA), medical imaging, and machine learning. With the size and complexity of data sets increasing day by day, there is a need for Python libraries that can render, analyze, filter, and interact with multi-dimensional data.