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Jupyter notebook wrapper for plotly dash applications
Python Jupyter Notebook Shell
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Allow use of plotly dash applications within Jupyter notebooks, with the management of both session and internal state.

See the source for this project here:

Try me here in your browser: Binder

More detailed information can be found in the online documentation at


Install the package. Use of a virtualenv environment is strongly recommended.

pip install jupyter_plotly_dash

Now the package is installed, it can be used within a Jupyter notebook.

Simple use

After installation, launch a python Jupyter notebook server using jupyter notebook or jupyter lab as desired. Create a Dash application, using the JupyterDash class instead of dash.Dash for the application, and copy the following into a code cell and evaluate it.

from jupyter_plotly_dash import JupyterDash

import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output

app = JupyterDash('SimpleExample')

app.layout = html.Div([
        options=[{'label': c, 'value': c.lower()}
                 for c in ['Red', 'Green', 'Blue']],
        options=[{'label': i, 'value': j}
                 for i, j in [('L','large'), ('M','medium'), ('S','small')]],


    dash.dependencies.Output('output-color', 'children'),
    [dash.dependencies.Input('dropdown-color', 'value')])
def callback_color(dropdown_value):
    return "The selected color is %s." % dropdown_value

    dash.dependencies.Output('output-size', 'children'),
    [dash.dependencies.Input('dropdown-color', 'value'),
     dash.dependencies.Input('dropdown-size', 'value')])
def callback_size(dropdown_color, dropdown_size):
    return "The chosen T-shirt is a %s %s one." %(dropdown_size,


The last line causes the dash application to be rendered. All callbacks are invoked asynchronously, so the display of an application does not prevent other notebook cells from being evaluated. Multiple instances of the same dash application can be rendered at the same time within a single notebook.

Binder use

To launch a binder image, visit Binder to run Jupyter notebooks using the latest version on the master branch of the main repository.

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