Hello, We are pleased to announce Mayavi-4.6.1. Mayavi is a general purpose, cross-platform Python package for 2-D and 3-D scientific data visualization. Mayavi integrates seamlessly with NumPy and provides a convenient Pythonic wrapper for VTK (http://www.vtk.org). It provides a stand-alone UI to help visualize your data. Mayavi is easy to extend and embed in your own dialogs and UIs. For more information see here:   http://docs.enthought.com/mayavi/mayavi/index.html Changes ------- - Make the use of an extension module optional. This allows installation via   pip without needing to have a compiler. - Fixed installation with pip when numpy is not installed. - Support for PySide2. - Add methods to make it easy to add attributes to datasets. - Fixed several issues. For more details see http://docs.enthought.com/mayavi/mayavi/auto/changes.html#mayavi-4-6-1 We are thankful to Eric Larson, Hongzhuo Liang, and Prabhu Ramachandran for their contributions. We are grateful to Enthought for their support which has made this release possible. cheers, Mayavi developers