I finally tagged a new version of GLVisualize with a lot of new goodies and overall improved stability. For more information please see my blog post: http://randomfantasies.com/2016/11/glvisualize-a-modern-graphics-platform-for-julia/ Best, Simon

How’s the documentation? The demos were great (last week) but I found it hard to find out some basics…

Not much better, but I did add more documented examples. Also I added this little function, which can print out the keyword arguments you can customize: # suppose you have x = rand(Point3f0, 10) visualize(x) # then you can use get_docs(x) # to figure out what keyword arguments you can pass There…

Last time I looked I got the feeling that I was supposed to already know ‘something’ in depth, because I couldn’t find much on coordinates, cameras, axes, projections, lighting, textures, data formats, datatypes, number formats, signals, etc, without diving into the code. The search tool didn’t help…

Thanks @cormullion . I guess you’re right, I do assume that kind of knowledge. I just imagine people looking through the demos, picking out the one closes to their use case and then work from there :wink: Which is also why I made it an essential part of the runtest. But I see how it’s time for a …

Great news, Simon, congratulations on all your hard work. I’m really enjoying GLVisualize and I’m looking forward to future updates : )

This looks really promising. Maybe one day Julia will have an equivalent of MathBox .

Looks very nice, good work! What are the hardware requirements? I get ERROR: LoadError: GLX: Failed to create context: GLXBadFBConfig error when running tests.

You need a modestly modern GPU (I think even an onboard HD 3000 from 2011 should be fine) with drivers installed. What does glxinfo say? Best is to open an issue at GLVisualize.jl

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i2000s December 3, 2016, 6:46am 10

HI @sdanisch, this looks really promising! Could you comment on this question for the probability to use GLVisualize in a Jupyter notebook? Thanks.

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