Re: As of 2016, what is state-of-the-art in 3D with Python?

GLFW is a good choice for the context handling since glut is now deprecated.
You can find Python bindings at: https://github.com/rougier/pyglfw


For scientific visualization, you might be interested in:
http://glumpy.github.io and http://vispy.org


Pyglet (https://pyglet.readthedocs.io/en/pyglet-1.2-maintenance/) is great but it seems unmaintained and it does not use the dynamic pipeline (a.k.a. shaders)


For a very basic python tutorial on modern GL, you can have a look at:
http://glumpy.readthedocs.io/en/latest/tutorial/introduction.html


Next, you can look at library such as ogre (http://www.ogre3d.org) that provided python bindings.
Mayavi (http://docs.enthought.com/mayavi/mayavi/) is also worth a look and may have already solved your problem.



Nicolas




> On 12 Aug 2016, at 11:10, Michael Bieri <[email protected]> wrote:
> 
> Hi all
> 
> I'm currently trying to dive into the world of 2D/3D graphics with OpenGL. I plan to use it for scientific visualisation. Normally I'll have data that's already close to input data for OpenGL, for example a list of points + a list of indices creating triangles form the points + a color value for each triangle. I plan to use it from Python.
> 
> There's a lot of resources about OpenGL with Python, but I'm not quite sure what's state-of-the-art currently since some resources are several years old. So a few questions:
> - Is pyopengl still state-of-the-art or are there better Python bindings for a new project?
> - Which context library and which bindings is most recommended as of 2016? I think there's the choice between GLFW, OpenGL Context and GLUT, plus different bindings for each.
> 
> It's relatively difficult to get good answers on these questions since not too many people do OpenGL with Python. So hopefully the mailing list can help a bit.
> 
> Best regards
> Michael
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What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
patterns at an interface-level. Reveals which users, apps, and protocols are 
consuming the most bandwidth. Provides multi-vendor support for NetFlow, 
J-Flow, sFlow and other flows. Make informed decisions using capacity 
planning reports. http://sdm.link/zohodev2dev
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