IPython running in a docker container. This image can be used to integrate IPython into Galaxy. A variety of different packages are pre-installed and can be used right away.
This docker container is used by the Galaxy-IPython project and can be installed from the docker.io index.
- Build your own image and run it
Docker is a pre-requirement for this project. You can build the container with:
docker build -t ipython-notebook . The build process can take some time, but if finished you can run your container with:
docker run -p 7777:6789 -v /home/user/foo/:/import/ -t ipython-notebookand you will have a running IPython Notebook instance on http://localhost:7777/ipython/.
- Run a pre-build image from docker registry
docker run -p 7777:6789 -v /home/user/foo/:/import/ bgruening/docker-ipython-notebook
Some environment variables are made available to the user which will allow for configuring the behaviour of individual instances.
| Variable | Use |
|---|---|
API_KEY |
Galaxy API Key with which to interface with Galaxy |
CORS_ORIGIN |
If the notebook is proxied, this is the URL the end-user will see when trying to access a notebook |
DEBUG |
Enable debugging mode, mostly for developers |
GALAXY_URL |
URL at which Galaxy is accessible |
GALAXY_WEB_PORT |
Port on which Galaxy is running, if applicable |
HISTORY_ID |
ID of current Galaxy History, used in easing the dataset upload/download process |
NOTEBOOK_PASSWORD |
Password with which to secure the notebook |
PROXY_PREFIX |
Prefix to URL which allows Galaxy proxy to share cookies with Galaxy itself. |
- Bjoern Gruening
- Eric Rasche
- v0.1: Initial public release
- v0.2: Upgrade IPython to version 2.4
- v0.3: Switch to environment based image configuration. Fix dataset ownership bugs.
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