MayaVi

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{{Infobox software

| name = Mayavi

| title =

| logo = MayaVi_Logo.png

| logo size = 75px

| screenshot = Mayavi.png

| screenshot size = 200px

| caption = A screenshot of the main window, with an example visualization

| collapsible =

| developer = Enthought

| released = {{Start date and age|2019}}

| discontinued =

| latest release version = {{wikidata|property|edit|reference|P348}}

| latest release date = {{start date and age| {{wikidata|qualifier|P348|P577}} }}

| programming language = Python, VTK, wxPython/Qt

| operating system = Linux, Mac OS X, Windows

| platform =

| size =

| language = English

| genre = Data visualization

| license = BSD License

| website = {{URL|https://docs.enthought.com/mayavi/mayavi/}}

}}

MayaVi is a scientific data visualizer written in Python, which uses VTK and provides a GUI via Tkinter. MayaVi was developed by Prabhu Ramachandran, is free and distributed under the BSD License. It is cross-platform and runs on any platform where both Python and VTK are available (almost any Unix, Mac OS X, or Windows). MayaVi is pronounced as a single name, "Ma-ya-vee", meaning "magical" in Sanskrit. The code of MayaVi has nothing in common with that of Autodesk Maya or the Vi text editor.{{cite web|url=http://mayavi.sourceforge.net/|title=MayaVi project page|publisher=SourceForge}}

The latest version of MayaVi, called Mayavi2, is a component of the Enthought suite of scientific Python programs. It differs from the original MayaVi by its strong focus on making an interactive program and a reusable component for 3D plotting in Python. Although it exposes a slightly different interface and API than the original MayaVi, it now has more features.{{cite web|url=http://scipy.org/Cookbook/MayaVi|title=MayaVi2 wiki page}}{{cite web|url=http://docs.enthought.com/mayavi/mayavi/|title=MayaVi2 project page}}

Major features

visualizes computational grids and scalar, vector, and tensor data
an easy-to-use GUI
can be imported as a Python module from other Python programs or can be scripted from the Python interpreter
supports volume visualization of data via texture and ray cast mappers
support for any VTK dataset using the VTK data format
support for PLOT3D data
multiple datasets can be used simultaneously
provides a pipeline browser, with which objects in the VTK pipeline can be browsed and edited
imports simple VRML and 3D Studio scenes
custom modules and data filters can be added
exporting to PostScript files, PPM/BMP/TIFF/JPEG/PNG images, Open Inventor, Geomview OOGL, VRML files, Wavefront .obj files, or RenderMan RIB file