amalic/jupyterlab repository overview

⁠Jupyterlab Docker container

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.

⁠Installed Jupyterlab extensions

• Jupyter Widgets⁠
• @jupyterlab/latex⁠
• jupyterlab-plotly⁠
• @mflevine/jupyterlab_html⁠
• jupyterlab-drawio⁠
• jupyterlab-spreadsheet⁠
• @bokeh/jupyter_bokeh⁠
• @jupyterlab/toc⁠
• @jupyterlab/git⁠

⁠Your notebooks

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.

⁠Pull/Update to latest version

docker pull amalic/jupyterlab:latest

⁠Run

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

or if you want to define your own password

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

⁠Run from Git repository

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" amalic/jupyterlab:latest

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>" amalic/jupyterlab:latest

⁠Build from source

docker build -t amalic/jupyterlab .