Docker IPython Container
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.
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-notebook
and you will have a running IPython Notebook instance on
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.
||Galaxy API Key with which to interface with Galaxy|
||If the notebook is proxied, this is the URL the end-user will see when trying to access a notebook|
||Enable debugging mode, mostly for developers|
||URL at which Galaxy is accessible|
||Port on which Galaxy is running, if applicable|
||ID of current Galaxy History, used in easing the dataset upload/download process|
||Password with which to secure the notebook|
||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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