A small Python Docker image based on Alpine Linux, inspired by jfloff's original work but updated for Python 3.6/2.7 and 2019 builds of Alpine. The Python 3 image is only 285 MB and includes python3-dev
, and all images include support for manylinux
wheels (where possible)
The images are now multi-architecture, so:
insighful/python
andinsightful/python:onbuild
should "just work" (and default to providing Python 3.6)
However, there are specific tags for runtime version, architecture and build step, like so:
-
3.6-amd64
-
3.6-amd64-onbuild
-
3.6-arm32v6
-
3.6-arm32v6-onbuild
-
3.6-arm32v7
-
3.6-arm32v7-onbuild
-
2.7-amd64
-
2.7-amd64-onbuild
-
2.7-arm32v6
-
2.7-arm32v6-onbuild
-
2.7-arm32v7
-
2.7-arm32v7-onbuild
NOTE: onbuild
images install the requirements.txt
of your project from the get go. This allows you to cache your requirements right in the build. Make sure you are in the same directory of your requirements.txt
file.
Well, first off, because I needed an easy way to run and deploy a Linux build of Python 3.5, which, given the current state of affairs in Python land, is not yet my go to version and hence only occasionally useful for me. The original builds by jfloff had everything needed for the most common Python projects - including python3-dev
(which is not common in most minimal alpine Python packages), plus the great -onbuild
variants, which made it a lot easier to build ready-to-deploy apps, so it was perfect for getting 3.6+ going without disrupting my existing environments.
The default docker Python images are too big, much larger than they need to be. Alpine-based images are just way smaller and faster to deploy:
REPOSITORY TAG VIRTUAL SIZE
insightful/alpine-python 3.6-onbuild 285 MB
insightful/alpine-python 3.6 285 MB
insightful/alpine-python 2.7-onbuild 280 MB
insightful/alpine-python 2.7 280 MB
jfloff/alpine-python 3.4 225.7 MB
python 3.4 685.5 MB
python 3.4-slim 215.1 MB
We actually get around the same size as python:3.4-slim
but with python3-dev
installed (that's around 55MB).
This image runs python
command on docker run
. You can either specify your own command, e.g:
docker run --rm -ti insightful/alpine-python python hello.py
Or extend this image using your custom Dockerfile
, e.g:
FROM insightful/alpine-python:onbuild
# for a flask server
EXPOSE 5000
CMD python manage.py runserver
Dont' forget to build your image:
docker build --rm=true -t insightful/app .
You can also access bash
inside the container:
docker run --rm -ti insightful/alpine-python /bin/bash
Another option is to build an extended Dockerfile
version (like shown above), and mount your application inside the container:
docker run --rm -v "$(pwd)":/home/app -w /home/app -p 5000:5000 -ti insightful/app
- Installs
python-dev
allowing the use of more advanced packages such asgevent
- Installs
bash
allowing interaction with the container - Just like the main
python
docker image, it creates useful symlinks that are expected to exist, e.g.python3.6
>python
,pip2.7
>pip
, etc.) - Added
testing
repository to Alpine's/etc/apk/repositories
file pip
is upgraded in all cases.
The code in this repository, unless otherwise noted, is MIT licensed. See the LICENSE
file in this repository.
Again, as outlined above, this is based on jfloff's work, with minor tweaks and updates.