Tools for constructing containers that work with
everware.
This repository contains example containers,
documentation and tools for designing a docker
container for your repository.
To help with testing your setup and running your repository
on your local machine there is the run_local.sh script.
Basic docker containers for use with everware. These
serve as documentation/specification for what a container
has to do to be everware-ready.
They are as basic as possible, so probably not so useful for actually running your repository.
This is the most barebones container that will work with
everware. If you want to create your own use this one as
a starting point. The important thing is to configure your
container to RUN the singleuser.sh script in the same
way that this one does.
The single user jupyter notebook is based on python 3 and
needs things like tornado installed.
We use anaconda as python distribution, it is just easier that way.
In addition to the basics this container also includes a python2 kernel.
Build the image with:
cd base
docker build -t everware/base .
This is a container based on everware/base that includes
a few more science-y libraries. Use it as an example of how
to extend everware/base for your repository.
Build the image with:
cd science-python
docker build -t everware/science-python .