I've been using hashdist/hashstack as an alternative to conda, there was
some talk of generating hashstack packages that could be uploaded to conda
for redistribution. Also, I've got a 'stack' of packages to build
tahoe-lafs repeatably and reliably --
https://github.com/hashdist/hashstack/pull/454

On Thu, Sep 4, 2014 at 8:47 PM, Dirk Loss <li...@dirk-loss.de> wrote:

> Hello,
>
> has anyone thought about using Conda to build binary Tahoe-LAFS
> packages, and maybe Binstar to host them?
>
> I guess this could be helpful especially for Windows users, because no
> compilation is necessary, dependencies are resolved automatically, and
> no admin privileges are needed for installation.
>
> http://conda.pydata.org/  (BSD-licensed)
> https://binstar.org/      (free for public repos up to 3GB)
>
> Over the last months I've been happily using Conda to install and update
> a stack of scientific Python libraries that have lots of complex C and
> Fortran dependencies (Numpy, Matplotlib, Pandas, etc.).
> From my point of view, Tahoe-LAFS seems not so different.
>
> Personally, I don't know anything about package building for Conda yet,
> but from a user's point of view, it works like a charm. If I understand
> it correctly, the difficulties of finding, building and updating all the
> dependencies for a particular application can be solved centrally by a
> competent developer -- just once per release, for all users.
>
> So in the future, I could imagine upcoming Tahoe-LAFS users just
> downloading Miniconda from http://conda.pydata.org/miniconda.html,
> running the executable and entering something like:
>
>   conda install -c https://conda.binstar.org/leastauthority tahoe-lafs
>
> Any thoughts or comments?
>
> Best regards
> Dirk
>
>
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> tahoe-dev@tahoe-lafs.org
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>



-- 
http://www.sgenomics.org/~jtang/
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