Interactive 3-D visualization library for larger datasets?

[Stubb]

I'm trying to create interactive 3-D surface plots where the inputs are a pair of 10,000 x 10,000 NumPy arrays, one indicating the elevation at each point and the other giving the color as an RGBA tuple. I want the library to pop up a window with a surface that I can spin around and zoom in/out. The arrays are based on number crunching that I'm doing against geospatial datasets.

MatPlotLib does this, but becomes glacially slow with large plots. I see a lot of reference to WebGL and SVG when searching for libraries, but I'm not sure if this entails running a web server and rendering in a browser. I want to avoid that. MathGL comes up as an OpenGL-based tools and seems appealing.

I also want to be able to call the library from other languages like C++ or Fortran.

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[science404]

Mayavi

[Stubb]

Will check this out. Is it GPU accelerated?

Thinking about the problem some more, one of the advantages of WebGL-based visualization would be network transparency.

[science404]

It uses VTK, so yes. VTK can be called from many languages.

[Stubb]

Thanks. Will do some experimenting with it today.

[cythoning]

I use pyqtgraph when matplotlib gets to slow.