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Feb. 1, 2018
Aug. 31, 2017


Artificial Intelligence for Django

django-ai is a collection of apps for integrating statistical models into your Django project so you can implement machine learning conveniently.

It integrates several libraries and engines providing your Django app with a set of tools so you can leverage the data generated in your project.


The full documentation is at or the /docs directory for offline reading.


See the Introduction section in the documentation for more information.

Communication Channels


The easiest way of trying django-ai is inside its package:

  1. Create a virtual environment and activate it:

    python3 -m venv django-ai_env
    source django-ai_env/bin/activate
  2. Upgrade pip and install django-ai:

    (django-ai_env) pip install --upgrade pip
    (django-ai_env) pip install django-ai
  3. Change into the django-ai directory, i.e.:

    (django-ai_env) cd django-ai_env/lib/python3.5/site-packages/django_ai
  4. Create the migrations for the dependencies and apply them:

    python makemigrations
    python migrate
  5. Create a superuser:

    python createsuperuser
  6. Start the development server and visit, look at the examples and start creating your statistical models:

    python runserver

You can also clone it from the repository and install the requirements in a virtualenv:

git clone [email protected]:math-a3k/django-ai.git

and following the previous steps, install the requirements - pip install -r requirements.txt - in a virtual environment instead of the package.

For installing it in your project, please refer here.

Running Tests

Does the code actually work?

source <YOURVIRTUALENV>/bin/activate
(myenv) $ pip install -r requirements_test.txt
(myenv) $ PYTHONHASHSEED=0 python

Latest Releases
 Jan. 15 2018
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