micheldumontier / jupyterlab-old Goto Github PK

This Docker container runs as root user! It can be helpful when e.g. the popular jupyter/datascience-notebook image does not work because it runs as Jovyan user.

• Jupyter Widgets
• @jupyterlab/latex
• jupyterlab-plotly
• jupyterlab-drawio
• jupyterlab-spreadsheet
• @bokeh/jupyter_bokeh
• @jupyterlab/toc
• @jupyterlab/git
• @krassowski/jupyterlab-lsp

Volumes can be mounted into /notebooks folder. If the folder contains a requirements.txt file, it will be installed automatically when the container starts up.

docker pull umids/jupyterlab:latest

docker run --rm -it -p 8888:8888 umids/jupyterlab

or if you want to define your own password

docker run --rm -it -p 8888:8888 -e PASSWORD="<your_secret>" umids/jupyterlab

The container will install requirements from files present at the root of the repository at docker run (in this order):

• packages.txt: install apt-get packages
• requirements.txt: install pip packages
• extensions.txt: install Jupyterlab extensions

You can provide a Git repository to be cloned in /notebooks when doing docker run

docker run --rm -it -p 8888:8888 -v /data/jupyterlab-notebooks:/notebooks -e PASSWORD="<your_secret>" -e GIT_URL="https://github.com/vemonet/translator-sparql-notebook" umids/jupyterlab:latest

Access on http://localhost:8888 and files shared in /data/jupyterlab-notebooks

or use the current directory as source code in the container:

docker run --rm -it -p 8888:8888 -v $(pwd):/notebooks -e PASSWORD="<your_secret>" umids/jupyterlab:latest

Use ${pwd} for Windows

docker build -t umids/jupyterlab .