[Neuroimaging] Nipy.org new website needs a complete remake

Ariel Rokem arokem at gmail.com
Mon Jul 27 17:53:16 CEST 2015

On Mon, Jul 27, 2015 at 5:54 AM, vanessa sochat <vsochat at stanford.edu>

> Having all packages nicely shown on the front page is a good idea - and I
> was thinking of having a nice visualization that would quickly show some
> stats next to each. I put the latest blob post mostly because I ran out of
> work time for the day. Is the old site living somewhere so I can take a
> look?
> Thanks so much for joining in the effort! For me, an important change
relative to the old page design is to allow the project list to change over
time and to allow people to easily advertise their neuroimaging-in-python
projects on this webpage. I would prefer not to have the list of projects
be statically enshrined into the design of the front page. If you can make
it organically change on the front page, that would be good.

> Gaël - I completely agree about nilearn! I just copied the groups as is
> from the current page, and had I thought about this, probably would have
> questioned them.
> On Sun, Jul 26, 2015 at 10:25 PM, Gael Varoquaux <
> gael.varoquaux at normalesup.org> wrote:
>> Hi,
>> Since it is the time to gives one opinion
>> - I agree with Elefterios that I think it is a good thing to have a list
>>   of the projects on the front page. I liked how the old webpage did it
>> - The snake-brain logo is great. We should have it on the front page.
>> - Developper-oriented information should be less emphasized compared to
>>   user-oriented information: 'view on github', 'contribute', 'A natural
>>   home for collaboration' should be deemphasized compared to the project
>>   directory. The reason is that we are trying to convince people to use
>>   the nipy ecosystem, and for this, the highest priority is to orient
>>   end users.
>> My 2 cents,
>> Gaël
>> PS: Vanessa: Nilearn is not only for fMRI. It's for statistical analysis
>> of images. It is also used for anatomical images:
>> http://nilearn.github.io/auto_examples/decoding/plot_oasis_vbm.html
>> If we could get a preprocessed, openly downloadable set of images of eg
>> FA, we would do an example with diffusion too.
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>> https://mail.python.org/mailman/listinfo/neuroimaging
> --
> Vanessa Villamia Sochat
> Stanford University
> (603) 321-0676
> _______________________________________________
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> Neuroimaging at python.org
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