[Neuroimaging] FA images Was: Nipy.org new website needs a complete remake
Gael Varoquaux
gael.varoquaux at normalesup.org
Mon Aug 3 19:14:24 CEST 2015
-1 on flask: it's twisting something that not been built for this
purpose.
My votes in order of preference (note that my opinion doesn't matter
much, as I won't be doing the work):
* sphinx: every package of the nipy constellation already uses it
* pelican: I have a great experience with it (using purecss that's much
lighter than bootstrap, check my personnal website out)
* jekyll: seems reasonnably easy to use, but will require most people to
learn a new development ecosystem
* flask: great project to serve dynamic websites, but not designed for
static.
Gael
On Mon, Aug 03, 2015 at 06:38:05AM -0700, vanessa sochat wrote:
> My .02 on flask:
> The extra step is "freezing." The workflow to push an update will always be
> something along the lines of:
> - checkout or clone current flask site
> - do changes
> - freeze
> - push to gh-pages
> This seems do-able to me, but I sense that others aren't happy about the extra
> step, and I am open to the idea that other frameworks could do it better,
> perhaps at the cost of the more "interactive" back end allowed by flask. At the
> end of the day, it doesn't really matter so much as long as updating / adding
> content is relatively straight forward and pain free. Looking forward to more
> discussion on this.
> On Mon, Aug 3, 2015 at 6:33 AM, vanessa sochat <vsochat at stanford.edu> wrote:
> This week we should perhaps vote/decide on a final framework to port the
> nipy site into? I'm open to giving a go at whatever the group thinks is
> best :)
> On Mon, Aug 3, 2015 at 6:11 AM, Ariel Rokem <arokem at gmail.com> wrote:
> On Wed, Jul 29, 2015 at 8:38 PM, David Moreno-Dominguez <
> d.mor.dom at gmail.com> wrote:
> Doesnt Dipy already do this? (be open source and compute FA images
> [and much more] from any dwi dataset)
> Absolutely - I was being ironic.
> But I will admit that irony doesn't travel well by email.
>
> On Wed, Jul 29, 2015 at 8:06 PM, Ariel Rokem <arokem at gmail.com>
> wrote:
> > On Mon, Jul 27, 2015 at 10:44 AM, Gael Varoquaux
> > <gael.varoquaux at normalesup.org> wrote:
> >> On Mon, Jul 27, 2015 at 08:56:08AM -0700, Ariel Rokem wrote:
> >> > 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.
> >> > Completely off-topic, but I can't resist: if only there was an
> >> > open-source project that computed FA images from freely
> available
> >> > diffusion MRI data-sets!
> >> Well, you're welcome to help us with preprocessing and pitching
> a
> >> relevant prediction problem from this data. I know nothing about
> >> diffusion and nothing about the datasets you are talking about.
> In my
> >> experience, writing a relevant example requires understanding
> the data
> >> and the questions. If you, or someone else, gets us to the point
> where
> >> there is a set of nifti images of FA with condition A and
> condition B,
> >> and helps us write the story, than we have an example.
> > Hmm. Interesting idea. I am looking around for something along
> these lines.
> > I think that there are some freely available data-sets that are
> already
> > preprocessed, so could be used in this way. Let me think about
> how to go
> > about this.
> >> Gaël
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--
Gael Varoquaux
Researcher, INRIA Parietal
NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France
Phone: ++ 33-1-69-08-79-68
http://gael-varoquaux.info http://twitter.com/GaelVaroquaux
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