And-voila-Jupyter-Blog #

The execution model of voilà is the following: upon connection to a notebook URL, voilà launches the kernel for that notebook, and runs all the cells as it populates the notebook model with the outputs. Voilà can render custom Jupyter widget libraries, including (but not limited to) bqplot, ipyleafet, ipyvolume, ipympl, ipysheet, plotly, ipywebrtc, etc. Together with ipympl, voilà is actually a simple means to render interactive matplotlib figures in a standalone web application: Voilà can be used to produce applications with any Jupyter kernel. A voilà template is actually a folder placed in the standard directoryPREFIX/share/jupyter/voila/templates and which may include

• nbconvert templates (the jinja templates used to transform the notebook into HTML)
• static resources
• custom tornado templates such as 404.html etc. The directory structure for a voilà template is the following:

PREFIX/share/jupyter/voila/templates/template_name/|├── conf.json # Template configuration file├── nbconvert_templates/ # Custom nbconvert templates├── static/ # Static directory└── templates/ # Custom tornado templates

The voilà template system can be used to completely override the behavior of the front-end. * Beyond the voila command-line utility, the voilà package also include a Jupyter server extension, so that voilà dashboards can be served alongside the Jupyter notebook application. Current work streams include better integration with JupyterHub for publicly sharing dashboard between users, as well as JupyterLab extensions (a voilà “preview” extension for notebooks, and a WYSIWYG editor for dashboard layouts).