>
> What I find particularly interesting is that they went to OSS fairly 
> early, but of course it relies on proprietary underneath with Matlab; 
> they're open-sourcing everything they can, and of course Matlab is pretty 
> available compared to other programs
>

For my Master's project I wrote a toy Python implementation of Chebfuns 
called pychebfun. Haven't worked on it much since then but Olivier Verdier 
forked and continued that work. You can find his repo here:

https://github.com/olivierverdier/pychebfun

When Nick Trefethen visited UW AMath several years ago back when I was 
still playing around with pychebfun he seemed pretty interested in bringing 
chebfuns to the Python community. (Actually asked me to talk about my toy 
implementation at the ICIAM 2011 conference!) We also discussed a vision 
where there was a C/C++/FORTRAN (or whatever) core Chebfun library with 
Python and MATLAB front-ends. Perhaps pipe-dreamy at this point since 
MATLAB Chebfun is very mature at this point. Regardless, it's pretty 
powerful stuff, especially once you start talking about solving systems of 
differential equations. (Of course, the numerical optimization stuff is 
cool, too.)

--
Chris

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