Skip to content

Jupyterlab extension for SoS Polyglot Notebook and Workflow Engine, allows multiple kernels in one notebook

License

Notifications You must be signed in to change notification settings

menriquez-IDM/jupyterlab-sos

 
 

Repository files navigation

Build Status npm version PyPI version

JupyterLab extension for SoS polyglot notebook and workflow system

jupyterlab-sos is a JupyterLab extension for the SoS Polyglot Notebook that allows you to use multiple Jupyter kernels in one notebook. It is also a frontend to the SoS Workflow Engine that is designed for daily computational research with both exploratory interactive data analysis and batch data processing.

Prerequisites

Installation

  • If you are using conda, you can install jupyterlab-sos with command

    conda install jupyterlab-sos -c conda-forge

    This will automatically install the transient-display-data extension, even jupyterlab, sos-notebook, and sos if needed.

  • If you have a working jupyterlab installation with sos-notebook, you can install jupyterlab-sos from command line

    pip install jupyterlab-sos

    or through the jupyterlab extension installation process, which will require node.js

    jupyter labextension install transient-display-data
    jupyter labextension install jupyterlab-sos

    You could also install these two extensions from the extension manager (Enable Extension Manager from Settings if needed).

    Finally, if you just upgraded jupyterlab with jupyterlab-sos installed, you could run

    jupyter labextension update --all

    to upgrade all your extensions to the latest version.

Development

For a development install (requires npm version 4 or later), do the following in the repository directory:

npm install
npm run build
jupyter labextension link .

To rebuild the package and the JupyterLab app:

npm run build
jupyter lab build

About

Jupyterlab extension for SoS Polyglot Notebook and Workflow Engine, allows multiple kernels in one notebook

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • TypeScript 48.1%
  • Python 47.2%
  • CSS 4.1%
  • Other 0.6%