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

Home Page: http://vatlab.github.io/sos-docs

License: BSD 3-Clause "New" or "Revised" License

TypeScript 48.12% Shell 0.03% CSS 4.06% Python 47.20% JavaScript 0.58%

jupyterlab-sos's Introduction

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

jupyterlab-sos's People

Contributors

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