Well, it took me longer than I thought it would to find time to do
this, but I have something that's testable available now. This isn't a
real "binary distribution" per se, but it ought to be enough to see if
the principle works.


Grab this tarball:
http://www.rdkit.org/rdkit_svn.bin.macos.tgz
and extract it; this will create a directory called RDKit.

Set your RDBASE environment variable to point to that directory and
add $RDBASE to your PYTHONPATH. Add $RDBASE/bin to your
DYLD_LIBRARY_PATH

at that point, you should be able to start Python and do:
>>> from rdkit import RDConfig
>>> from rdkit import rdBase
>>> from rdkit import Chem

These test, in order, $PYTHONPATH, $DYLD_LIBRARY_PATH, your general
configuration. If all three imports work, you should be able to use
the RDKit.

Let me know how it goes.
-greg



On Sun, Sep 20, 2009 at 5:38 PM, Benjamin Esham <[email protected]> wrote:
> Hello all,
>
> I am doing some research in chemical physics, and it would be great if
> I could use RDKit to help me.  However, I'm not sure that it would be
> worth the hassle of installing and configuring boost, bjam, and the
> other dependencies, given that I would only be using the Python
> interface to RDKit anyway.  Does anyone have binaries available for
> Mac OS X so that I wouldn't have to set up a bunch of other packages?
> Alternately, is it possible to use the Python interface without
> actually compiling the C++ part of the package?
>
> Thanks for any help!
>
> --
> Benjamin D. Esham   |   [email protected]   |   bdesham128 (AIM)
> Keep Wikipedia running smoothly: see http://donate.wikimedia.org
>
>
>
>
>
>
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