Enthought is pleased to announce Mayavi-4.4.1. 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 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:
Mayavi-4.4.0 is available as part of the free Canopy (https://store.enthought.com/downloads/) packages. 4.4.1 will be available soon.
This is a major public release as this is the first public version of Mayavi to support VTK-6.x and also support VTK-5.x. Mayavi-4.4.1 (and 4.4.0) should work with all VTK 6.x releases as well as the latest development version. We did have a 4.4.0 release but did not announce it widely. For more details on the enhancements and fixes please see here:
This release is important as this will allow us to track major improvements that are part of the VTK-6.x releases.
We are thankful to the following for their contributions towards this release:
Deepak Surti, Prabhu Ramachandran, Robert Kern, Mark Kness, Ioannis Tziakos, Mark Dickinson, Paul Müller, Gael Varoquaux
cheers, Mayavi Developers