Hello, We are pleased to announce Mayavi-4.5.0. 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 the VTK API. It provides a high-level visualization API that sits on top of the powerful VTK (http://www.vtk.org) library. 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 New features ------------- - Jupyter notebook support: Adds basic support for displaying Mayavi images or interactive x3d scenes. For more information see here http://docs.enthought.com/mayavi/mayavi/tips.html#using-mayavi-in-jupyter-no... - Add support for recording movies and animating timesteps. - Support for the new matplotlib colorschemes. - This release improves the experimental Python 3 support from the previous release. This release should work with VTK-5.x, VTK-6.x, and 7.x. For more details on the full set of changes see: http://docs.enthought.com/mayavi/mayavi/auto/changes.html#mayavi-4-5-0 More than 50 pull requests were merged since the last release. We are thankful to Gregory R. Lee, Ioannis Tziakos, Kit Yan Choi, Patrick Snape, Prabhu Ramachandran, Ryan Pepper, SiggyF, Stefano Borini, and daytonb for their contributions towards this release. Contributions from Ioannis Tziakos, Kit Yan Choi and Stefano Borini are funded and supported by the SimPhoNy project, an EU-project funded by the 7th Framework Programme (Project number 604005) under the call NMP.2013.1.4-1. cheers, Mayavi Developers