Re: [Matplotlib-users] Contouring a large set of ungridded data

[John H. <jdh...@ac...>]

>>>>> "Jeff" == Jeff Whitaker <js...@fa...> writes:
    Jeff> John: I've now a got a toolkit built with no CDAT code in
    Jeff> it, using the NCAR natgrid library which is GPL. I've done a
    Jeff> fair amount of searching and haven't found anything else
    Jeff> that provides similar functionality with better
    Jeff> (i.e. BSD-like) licensing.  The prototype natgrid toolkit is
    Jeff> at /Public/jsw/natgrid-0.1.tar.gz if you'd like to take a
    Jeff> look.  All it does is provide a single function, griddata,
    Jeff> which works much the same as the matlab version.  I'm ready
    Jeff> to put it CVS if you give the go ahead.

I'm hesitant to include any GPL code even as a toolkit.  For one
thing, it decreases the impetus for someone to provide a version that
is compatible with the mpl license.  Perhaps this would be better
placed on the wiki?

I know that VTK is BSD compatible and has delaunay triangulation, but
obviously it is impractical to try and pull anything out of VTK.  I
think the qhull license is less restrictive:
http://www.qhull.org/COPYING.txt.  In short, I wonder if we have
really exhausted all the possibilities.  Something from netlib?
There was a recent thread on scipy in which Eric Jones posted a link
to some code (FORTRAN I believe) that does something analogous.  It
would be nice to have something in C/C++ and something that is BSD
compatible.  Perhaps I'm dreaming.

JDH