Repo2docker: Turn code repositories into Jupyter enabled Docker Images
repo2docker fetches a git repository and builds a container image based on
the configuration files found in the repository.
See the repo2docker documentation for more information on using repo2docker.
This version is a fork that adds support for Data Workspaces.
For support questions please search or post to https://discourse.jupyter.org/c/binder.
See the contributing guide for information on contributing to repo2docker.
See our roadmap to learn about where the project is heading.
- Docker to build & run the repositories. The community edition is recommended.
- Python 3.5+.
Supported on Linux and macOS. See documentation note about Windows support.
This a quick guide to installing
repo2docker, see our documentation for a full guide.
To install from PyPI:
pip install jupyter-repo2docker
To install from source:
git clone https://github.com/jupyter/repo2docker.git cd repo2docker pip install -e .
The core feature of repo2docker is to fetch a git repository (from GitHub or locally), build a container image based on the specifications found in the repository & optionally launch the container that you can use to explore the repository.
Note that Docker needs to be running on your machine for this to work.
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
Repo2Docker looks for configuration files in the source repository to
determine how the Docker image should be built. For a list of the configuration
repo2docker can use, see the
complete list of configuration files.
The philosophy of repo2docker is inspired by Heroku Build Packs.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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