Dear all,
Further to Riccardo’s email, I’ve built boost and rdkit binaries for OS X using
conda, which may be installed using `conda install -c
https://conda.binstar.org/richlewis rdkit`.
These are *highly* experimental, but at least one of my colleagues has obtained
a functional rdkit module using the command on Mavericks with the most up to
date Anaconda Python. I would be interested to hear if anyone else has any
success (or failure!).
Conda makes maintaining virtual environments with externally linked libraries
much simpler, and it’s obviously much faster to install using binaries than
building from source, so I’d recommend giving it a try!
Thanks,
Rich
--
Richard Lewis
PhD Candidate
Unilever Centre for Molecular Informatics
University of Cambridge
http://www-ucc.ch.cam.ac.uk
On 14 May 2014, at 18:55, Riccardo Vianello <[email protected]> wrote:
> Dear all,
>
> I'm very happy to inform you that some conda recipes for the latest RDKit
> release are now available on GitHub:
>
> https://github.com/rdkit/conda-rdkit
>
> Hopefully, these recipes will strongly simplify building RDKit packages for
> the Anaconda/Miniconda python distributions.
>
> Please note that the degree of testing performed so far differs a bit across
> the supported operating systems (linux, os x and windows) so feedback would
> be very appreciated. Some "getting started" documentation is available from
> the README file at the repository above, but please feel free to write here
> or contact me in case you had any questions.
>
> Best regards,
> Riccardo
>
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