armel organization is deprecated in favor of the more-specific
arm32v5 organization, as per https://github.com/docker-library/official-images#architectures-other-than-amd64. Please adjust your usages accordingly.
Supported tags and respective
THESE IMAGES ARE VERY EXPERIMENTAL; THEY ARE PROVIDED ON A BEST-EFFORT BASIS WHILE docker-library/official-images#2289 IS STILL IN-PROGRESS (which is the first step towards proper multiarch images)
PLEASE DO NOT USE THEM FOR IMPORTANT THINGS
This image is built from the source of the official image of the same name (
pypy). Please see that image's description for links to the relevant
If you are curious about specifically how this image differs, see the Jenkins Groovy DSL scripts in the
tianon/jenkins-groovy GitHub repository, which are responsible for creating the Jenkins jobs which build them.
Where to file issues:
the Docker Community
Supported Docker versions:
the latest release (down to 1.6 on a best-effort basis)
What is PyPy?
PyPy is a Python interpreter and just-in-time compiler. PyPy focuses on speed, efficiency and compatibility with the original CPython interpreter.
PyPy started out as a Python interpreter written in the Python language itself. Current PyPy versions are translated from RPython to C code and compiled. The PyPy JIT (short for "Just In Time") compiler is capable of turning Python code into machine code at run time.
How to use this image
Dockerfile in your Python app project
FROM pypy:3-onbuild CMD [ "pypy3", "./your-daemon-or-script.py" ]
or (if you need to use PyPy 2):
FROM pypy:2-onbuild CMD [ "pypy", "./your-daemon-or-script.py" ]
These images include multiple
ONBUILD triggers, which should be all you need to bootstrap most applications. The build will
RUN pip install on said file, and then copy the current directory into
You can then build and run the Docker image:
$ docker build -t my-python-app . $ docker run -it --rm --name my-running-app my-python-app
Run a single Python script
For many simple, single file projects, you may find it inconvenient to write a complete
Dockerfile. In such cases, you can run a Python script by using the Python Docker image directly:
$ docker run -it --rm --name my-running-script -v "$PWD":/usr/src/myapp -w /usr/src/myapp pypy:3 pypy3 your-daemon-or-script.py
or (again, if you need to use Python 2):
$ docker run -it --rm --name my-running-script -v "$PWD":/usr/src/myapp -w /usr/src/myapp pypy:2 pypy your-daemon-or-script.py
View license information for software contained in this image.