This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

Statistics for your Computer Aided Drug Design projects as a django specific package. View CADD Stat now:


The aim of CADD Stat is to cover all the statistics covered in the placemat that was present at the conference.


If you find a bug please send feedback via the app itself, or log an issue. If you know how to fix the bug feel free to make to fork the repo and submit a pull request, see below.


Contributions are welcome as a pull request. Do not forget to add yourself to the AUTHORS file. Learn more about GitHub pull requests. All contributions are subject the same license as CADD Stat. To create suitable development environment in a virtualenv run pip install -r requirements.txt. Please run the test suite before submitting a pull request:

# or
python test

You can test against multiple Django versions by running tox or run in parallel with detox. Check our test coverage by running:

coverage run


CADD Stat is provided with a BSD 3-clause license, see the LICENSE file for full details. In addition it utilizes numerous other python open source libraries all of which are listed in requirements.txt.


Change Log

  • 0.1 (09/16/13)
    • Initial release with feedback from the GRC conference.
    • Added Pearson and Cohen’s size effect tests.


Grab the latest released version from PyPi and install into a virtualenv:

pip install django-caddstat
pip install django-caddstat[numpy]
pip install django-caddstat[statslibs]
pip install django-caddstat[statsmodels]

Multiple installation steps are required because of the way the scientific python ecosystem handles packaging. Note that Numpy and SciPy have multiple system dependencies (e.g. Fortran) which must be met before using pip. Read more on the SciPy website.

To install the development version of CADD Stat you must install like this:

pip install -e git+
pip install -e git+[numpy]
pip install -e git+[statslibs]
pip install -e git+[statsmodels]

Create or use an existing Django project:

pip install django startproject mysite
cd mysite/mysite

Add caddstat and analytical to your INSTALLED_APPS in


Add an entry to your project

urlpatterns = patterns(
    url(r'^', include('caddstat.urls')),

In this example CADD Stat will now be available on the root of your web site, e.g. You can start a local webserver with:

python runserver 8000

Note CADD Stat uses Celery to place all statistical tests in a queue. The above example does not use celery.

The feedback form ( will send an email to the address specified in the setting CADDSTAT_FEEDBACK_EMAIL, the default is Set a new value in your Ensure you have configured a email backend within your project first, see for more information.

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
django-caddstat-0.1.tar.gz (28.4 kB) Copy SHA256 Checksum SHA256 Source Sep 17, 2013

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting