Using Voila

Voila can be used as a standalone application, or as a Jupyter server extension. This page describes how to do each. Before you begin, make sure that you follow the steps in Installing Voila.

The following sections cover how to use Voila.

As a standalone application

Voila can be used to run, convert, and serve a Jupyter notebook as a standalone app. This can be done via the command-line, with the following pattern:

voila <path-to-notebook> <options>

For example, to render the bqplot example notebook as a standalone app, run

git clone
cd voila
voila notebooks/bqplot.ipynb

Voila display a message when your notebook-based application is live. By default, Voila runs at localhost:8866.

To serve a directory of Jupyter Notebooks, navigate to the directory you’d like to serve, then simply run voila:

cd notebooks/

The page served by Voila will now contain a list of any notebooks in the directory. By clicking on one, you will trigger Voila’s conversion process. A new Jupyter kernel will be created for each notebook you click.

As a Jupyter server extension

You can also use Voila from within a Jupyter server (e.g., after running jupyter lab or jupyter notebook).


Voila can also be used as a notebook server extension, both with the notebook server or with the jupyter_server.

To use Voila within a pre-existing Jupyter server, first start the server, then go to the following URL:


For example, if you typed jupyter lab and it was running at http://localhost:8888/lab, then Voila would be accessed at http://localhost:8888/voila.

In this case, Voila will serve the directory in which the Jupyter server was started.

How does Voila work?

When Voila is run on a notebook, the following steps occur:

  1. Voila runs the code in the notebook and collects the outputs

  2. The notebook and its outputs are converted to HTML. By default, the notebook code cells are hidden.

  3. This page is served either as a Tornado application, or via the Jupyter server.

  4. When users access the page, the widgets on the page have access to the underlying Jupyter kernel.