Dash App Authentication

This documentation is for Dash Enterprise,
Plotly’s commercial platform for managing and improving
Dash applications in your organization.
View the docs or
request a trial.

Dash Enterprise will automatically implement user authentication if your
Dash app’s privacy
is set to Restricted (the default setting)
or Authorized but not if is set to Unauthorized. You can access the authentication data within your app
using the dash-enterprise-auth package.

Using dash-enterprise-auth in an Existing Dash App

If you have previously deployed your Dash app to your Dash Enterprise,
simply add dash-enterprise-auth to your requirements.txt file.

dash-enterprise-auth includes the method create_logout_button which allows you to
add a logout button to your app’s layout and it also includes three other methods,
get_username, get_user_data and get_kerberos_ticket_cache (only applicable for
certain server configurations), which provide information about the app’s viewer and so
must be called from within callbacks.

The example below demonstrates how to use these callbacks. Note that in order to use
create_logout_button locally you will have to set an environment variable called
DASH_LOGOUT_URL. You can do this by running your code with DASH_LOGOUT_URL=plotly.com python app.py.

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

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

server = app.server  # Expose the server variable for deployments

# Standard Dash app code below
app.layout = html.Div(className='container', children=[

        html.H2('Sample App', id='header-title', className='ten columns'),
        html.Div(auth.create_logout_button(), className='two columns', style={'marginTop': 30})
    html.Div(id='dummy-input', style={'display': 'none'}),

            className='four columns',
                    options=[{'label': i, 'value': i} for i in ['LA', 'NYC', 'MTL']],
            className='eight columns',

              [Input('dummy-input', 'children')])
def update_title(_):

    # print user data to the logs

    # update header with username
    return 'Hello {}'.format(auth.get_username())

@app.callback(Output('graph', 'figure'),
              [Input('dropdown', 'value')])
def update_graph(value):
    return {
        'data': [{
            'x': [1, 2, 3, 4, 5, 6],
            'y': [3, 1, 2, 3, 5, 6]
        'layout': {
            'title': value,
            'margin': {
                'l': 60,
                'r': 10,
                't': 40,
                'b': 60

if __name__ == '__main__':