jupyter-repo2docker takes as input a repository source, such as a GitHub repo. It then builds, runs, and/or pushes Docker images built from that source.
See the repo2docker documentation for more information.
- Docker to build & run the repositories. The community edition is recommended.
- Python 3.4+.
To install from pypi, the python packaging index:
pip install jupyter-repo2docker
To install from source and start contributing:
git clone https://github.com/jupyter/repo2docker.git
cd repo2docker
pip install -e .
The core feature of repo2docker is to fetch a repo (from github or locally), build a container image based on the specifications found in the repo & optionally launch a local Jupyter Notebook you can use to explore it.
Note that Docker needs to be running on your machine for this to work.
Example:
jupyter-repo2docker https://github.com/jakevdp/PythonDataScienceHandbook
After building (it might take a while!), it should output in your terminal something like:
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://0.0.0.0:36511/?token=f94f8fabb92e22f5bfab116c382b4707fc2cade56ad1ace0
If you copy paste that URL into your browser you will see a Jupyter Notebook with the contents of the repository you had just built!
For more information on how to use repo2docker
, see the
usage guide.
Repo2Docker looks for configuration files in the source repository to determine how the Docker image should be built. It is philosophically similar to Heroku Build Packs.
For a list of the configuration files that repo2docker
can use,
see the usage guide.