The Data Science and Engineering Society

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binderhub-kafka

A repository template for launching specific interfaces on binderhub instances.

Table of contents

• Launching this repository on a binderhub instance
  • Jupyter
  • JupyterLab
  • Rstudio
  • Shiny
  • Nteract
  • Stencila
• Launching this repository locally using repo2docker
• Contributing
• License

Launching this repository on a binderhub instance

Binderhub uses repo2docker for launching and serving the computational environments. Repo2docker supports the following interfaces:

• Jupyter
• JupyterLab
• Rstudio
• Nteract
• Shiny
• Stencila

The list below contains the known binderhub instances.

• mybinder.org (a federation of Binderhub instances)
• binder.gesis.org
• binder.pangeo.io

The list below provides the badges and the hyperlinks for launching one of the specific interfaces in one of the binderhub instances.

Jupyter

• 

• 

• 

JupyterLab

• 

• 

• 

Launching this repository locally using repo2docker

You can also launch this repository locally using Docker and repo2docker. Please refer to this link for installing Docker and this link for installing repo2docker.

The command below launches a container on port 8888. It also creates a Docker volume that maps the user's home into the container (the local-home folder).

Before running it, make sure your local user is in the docker group. Please refer to this Docker documentation for more details. It is strongly advised to not to run the container as root. Please also be aware that the --ip 0.0.0.0 directive will start a sever which will accept connections from any ip. For security purposes the --NotebookApp.token='dstoken1234567' directive forces the need of a token for accessing any interface. Use the dstoken1234567 to login or feel free to set a stronger token.

repo2docker -p 8888:8888 \
            -v $(echo ~):$(echo ~)/local-home \
            https://github.com/thedatasociety/binderhub-template \
            jupyter lab --ip 0.0.0.0 --NotebookApp.token='dstoken1234567'

Each interface will be available at a specific path, as follows:

• Jupyter: http://0.0.0.0:8888/tree

• JupyterLab: http://0.0.0.0:8888/lab

• Nteract: http://0.0.0.0:8888/nteract

• Stencila:http://0.0.0.0:8888/stencila

• Rstudio: http://0.0.0.0:8888/rstudio

• Shiny: http://0.0.0.0:8888/shiny

See the repo2docker documentation for more details regarding the use of multiple interfaces.

Contributing

License