general: stack

* coveralls
* travis
* sphinx
* tox
* pytest

EDIT: changed to pytest

Signed-off-by: Mateusz Susik <mateusz.susik@cern.ch>
Yes, we will rely heavily on BSD-licensed projects, like Scikit-Learn,
NumPy or SciPy. In fact, most of the core libraries in the scientific
Python ecosystem are licensed under BSD. It would be nice to integrate with
it.

On 4 November 2014 10:27, Tibor Simko <notifications@github.com> wrote:

> In LICENSE:
>
> > -
> > -  Yoyodyne, Inc., hereby disclaims all copyright interest in the program
> > -  `Gnomovision' (which makes passes at compilers) written by James Hacker.
> > -
> > -  {signature of Ty Coon}, 1 April 1989
> > -  Ty Coon, President of Vice
> > -
> > -This General Public License does not permit incorporating your program into
> > -proprietary programs.  If your program is a subroutine library, you may
> > -consider it more useful to permit linking proprietary applications with the
> > -library.  If this is what you want to do, use the GNU Lesser General
> > -Public License instead of this License.
> > -
> > +New BSD License
> > +
> > +Copyright (c) 2014, CERN
>
>  BSD is not contemplated.
>
> ... but there are clauses allowing the use of other licences in special
> cases, e.g. to integrate in an existing FOSS ecosystem, which we used for
> BSD-ifying our Flask extensions. (Confirmed by @TimSmithCERN who has the
> role of CERN FOSS licensing officer/advisor.)
>
> Is there a reason why we are not simply picking up GPL3 as per the
> official CERN mandate?
>
> IIRC @glouppe <https://github.com/glouppe> would prefer BSD over GPL,
> hence my above-mentioned thoughts on when this might be feasible. E.g. I
> assume Beard would use scikit-learn heavily?
>
> —
> Reply to this email directly or view it on GitHub
> <https://github.com/inveniosoftware/beard/pull/1/files#r19792119>.
>