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Navigation: Home
\ Education
\ Science \ MayaVi for Windows
MayaVi for Windows1.5 by Prabhu Ramachandran |
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Software Description:
MayaVi is a free, easy to use scientific data visualizer. It is written in Python and uses the amazing Visualization Toolkit (VTK) for the graphics. It provides a GUI written using Tkinter. MayaVi is free and distributed under the conditions of the BSD license. It is also cross platform and should run on any platform where both Python and VTK are available (which is almost any *nix, Mac OSX or Windows). ...
type: Open Source
Download MayaVi for Windowscategories: Scientific Data Visualizer, Data Visualization, Graphic Visualization, Visualization, Visualizer, VTK Add to Download Basket Report virus or spyware |
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| Software Info | |
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Best Vista Download periodically updates pricing and software information of MayaVi for Windows full version from the publisher,
but some information may be out-of-date. You should confirm all information. Software piracy is theft, using crack, warez passwords, patches, serial numbers, registration codes, key generator, keymaker or keygen for MayaVi for Windows license key is illegal and prevent future development of MayaVi for Windows. Download links are directly from our mirrors or publisher's website, MayaVi for Windows torrent files or shared files from rapidshare, yousendit or megaupload are not allowed! |
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| Released: | September 13, 2005 |
| Filesize: | 7.80 MB |
| Platform: | Windows 2000, Windows 2003, Windows XP, Windows Vista, Windows 7, Windows 8, Windows 10 |
| Install | Instal And Uninstall |
| Add Your Review or Windows Vista Compatibility Report |
MayaVi for Windows- Releases History |
| Software: | MayaVi for Windows 1.5 |
| Date Released: | Sep 13, 2005 |
| Status: | New Release |
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MayaVi for Windows 1.5 download by Prabhu Ramachandran
MayaVi is a free, easy to use scientific data visualizer. It is written in Python and uses the amazing Visualization Toolkit (VTK) for the graphics. It provides a ... computational grids. o Visualize scalar, vector and tensor data. * Quite a few data filters are also ...
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