everware

Everware is about re-useable science, it allows people to jump right in to your research code.

It lets you launch Jupyter notebooks from a git repository with a click of a button. Everware is an extension for JupyterHub. The main component is a spawner that allows you to spawn custom docker images.

Checkout the ROADMAP to see where we are going and how to get involved with the project.

See this blog post for more information about what everware is and how it can be useful.

The idea for everware originated at the CERN Webfest 2015. The original everware team consists of @OmeGak, @ibab, @ndawe, @betatim, @uzzielperez, @anaderi, and @AxelVoitier.

Documentation

We have some documentation on the different ways to use everware and getting started.

Try it out

In order to deploy your own everware instance, you have to:

• create and activate a conda environment with python 3.5

    conda create -n everware python=3.5

• Clone this repo and install everware

    git clone https://github.com/everware/everware
    cd everware
    make install

• Create a Github OAuth application with URL http://localhost:8000/ and callback URL http://localhost:8000/hub/oauth_callback

• Enter you OAuth information into env.sh and source env.sh. You will have to set these environment variables every time before running everware

• If you are on Mac OS make sure the VM in which docker runs is started (docker-machine start <vm-name>) and your environment is setup properly (docker-machine env <vm-name>). Start everware with:

    everware-server -f etc/local_dockermachine_config.py --debug --no-ssl

• If you are on Linux make sure dockerd is running and your environment contains the required information (DOCKER_HOST is set, etc). Then start everware with

    everware-server -f etc/local_config.py --debug --no-ssl

Development

Follow the instructions for deploying your own everware instance. In addition to run our tests you will need selenium and firefox. On OS X you can install selenium with:

brew install selenium-server-standalone

Note: if you are not starting from an environment that already contains dockerspawner make sure it is updated to the right commit. pip will be satisfied if it is installed which might leave you with an old version.