fcollonval / jupyter-viewer

πŸͺ πŸ‘€ A revisited NbViewer as a modern Web application to view Jupyter notebooks.

Home Page:https://jupyter-viewer.datalayer.tech

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πŸͺ πŸ‘€ Jupyter Viewer

A revisited NbViewer as a modern Web application to view Jupyter notebooks.

NbViewer is built on top of the GitHub nbviewer repository and has been an attraction point for many data scientists since years.

Jupyter Viewer takes over the concept of easy visualisation and brings it to the Web application developers with React.js components.

Jupyter Viewer provides React.js components and a JupyterLab extension to render Notebooks without any Kernel.

It can be seen as the modern version of the existing NbViewer solution.

Developers can create static version of the Notebook. If needed, Users can then connect that static artifcat to a Kernel to make it even more interactive.

This repository packages the Jupyter UI Viewer component as a Jupyter Server extension. Install and launch with the following commands (you will need Python installed on your machine).

pip install jupyter_viewer
# open http://localhost:8888/jupyter_viewer
# python -m jupyter_viewer
jupyter viewer

After launching, enjoy the πŸ‘€ views.

Jupyter Viewer

Develop

yarn
yarn build
# open http://localhost:3063
# open http://localhost:8686/api/jupyter/lab?token=60c1661cc408f978c309d04157af55c9588ff9557c9380e4fb50785750703da6
yarn start
pip install -e .[test]
jupyter labextension develop . --overwrite
jupyter labextension list
jupyter server extension list
# open http://localhost:8686/api/jupyter/lab?token=60c1661cc408f978c309d04157af55c9588ff9557c9380e4fb50785750703da6
yarn jupyterlab

Releases

Jupyter Viewer is released in PyPI.

About

πŸͺ πŸ‘€ A revisited NbViewer as a modern Web application to view Jupyter notebooks.

https://jupyter-viewer.datalayer.tech

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


Languages

Language:TypeScript 49.2%Language:Python 17.9%Language:JavaScript 13.2%Language:Jupyter Notebook 8.9%Language:HTML 4.7%Language:Makefile 3.0%Language:Shell 2.3%Language:Dockerfile 0.7%Language:CSS 0.2%