The project can be found at  https://github.com/JeffHeard/ga_ows

Core to Geoanalytics are the Open Geographic Consortium’s Open Web Services. ga_ows is a reusable GeoDjango webapp that provides you the ability to expose GeoDjango models and Python objects as geographic webservices.

A geographic webservice allows you to access data in your GeoDjango models by bounding box and other filters; these data can then be imported into other geographic databases, or perhaps more importantly as layers on a map. For layering WFS services, see the OpenLayers project .

How does it work? OWS is based on Django’s class-based generic views. The following in your urls.py will create a WFS service for a the models in your app:

from ga_ows.views.wfs import WFS
from myapp import models as m

urlpatterns = patterns('',

# ...

    url(r'^wfs/?', WFS.as_view(
        models=[m.MyModel1, m.MyModel2], # everything but this is optional.
        title='My app\'s WFS',
        keywords=['some','keywords'],
        fees='one dollar',
        provider_name='RENCI',
        addr_street='100 Europa Dr. ste 529',
        addr_city='Chapel Hill',
        addr_admin_area='NC',
        addr_postcode='27515',
        addr_country='USA',
        addr_email='jeff@renci.org'
    )),

# ...

)

This will create a WFS endpoint at $django_server/$myapp_root/wfs that serves up features in GML and any of the formats that support the creation of single-file dataset in OGR_ (note that for now this means shapefiles are not supported for output since they require multiple files, although they will be in the near future).