This image is officially deprecated in favor of the standard
python image, and will receive no further updates after 2016-12-31 (Dec 31, 2016). Please adjust your usage accordingly.
For most usages of this image, it was already not bringing in
django from this image, but actually from your project's
requirements.txt, so the only "value" being added here was the pre-installing of
sqlite3 for various uses of the
For example, a
Dockerfile similar to the following would be a good starting point for a Django project using PostgreSQL:
FROM python:3.4 RUN apt-get update \ && apt-get install -y --no-install-recommends \ postgresql-client \ && rm -rf /var/lib/apt/lists/* WORKDIR /usr/src/app COPY requirements.txt ./ RUN pip install -r requirements.txt COPY . . EXPOSE 8000 CMD ["python", "manage.py", "runserver", "0.0.0.0:8000"]
Supported tags and respective
Where to file issues:
the Docker Community
Supported Docker versions:
the latest release (down to 1.6 on a best-effort basis)
What is Django?
Django is a free and open source web application framework, written in Python, which follows the model-view-controller architectural pattern. Django's primary goal is to ease the creation of complex, database-driven websites with an emphasis on reusability and "pluggability" of components.
How to use this image
Dockerfile in your Django app project
Put this file in the root of your app, next to the
This image includes multiple
ONBUILD triggers which should cover most applications. The build will
COPY . /usr/src/app,
RUN pip install,
EXPOSE 8000, and set the default command to
python manage.py runserver.
You can then build and run the Docker image:
$ docker build -t my-django-app . $ docker run --name some-django-app -d my-django-app
You can test it by visiting
http://container-ip:8000 in a browser or, if you need access outside the host, on
http://localhost:8000 with the following command:
$ docker run --name some-django-app -p 8000:8000 -d my-django-app
Of course, if you don't want to take advantage of magical and convenient
ONBUILD triggers, you can always just use
docker run directly to avoid having to add a
Dockerfile to your project.
$ docker run --name some-django-app -v "$PWD":/usr/src/app -w /usr/src/app -p 8000:8000 -d django bash -c "pip install -r requirements.txt && python manage.py runserver 0.0.0.0:8000"
Bootstrap a new Django Application
If you want to generate the scaffolding for a new Django project, you can do the following:
$ docker run -it --rm --user "$(id -u):$(id -g)" -v "$PWD":/usr/src/app -w /usr/src/app django django-admin.py startproject mysite
This will create a sub-directory named
mysite inside your current directory.
django images come in many flavors, each designed for a specific use case.
This is the defacto image. If you are unsure about what your needs are, you probably want to use this one. It is designed to be used both as a throw away container (mount your source code and start the container to start your app), as well as the base to build other images off of.
This image makes building derivative images easier. For most use cases, creating a
Dockerfile in the base of your project directory with the line
FROM django:onbuild will be enough to create a stand-alone image for your project.
onbuild variant is really useful for "getting off the ground running" (zero to Dockerized in a short period of time), it's not recommended for long-term usage within a project due to the lack of control over when the
ONBUILD triggers fire (see also
Once you've got a handle on how your project functions within Docker, you'll probably want to adjust your
Dockerfile to inherit from a non-
onbuild variant and copy the commands from the
Dockerfile (moving the
ONBUILD lines to the end and removing the
ONBUILD keywords) into your own file so that you have tighter control over them and more transparency for yourself and others looking at your
Dockerfile as to what it does. This also makes it easier to add additional requirements as time goes on (such as installing more packages before performing the previously-
View license information for the software contained in this image.