Deploying Dash Apps

By default, Dash apps run on localhost - you can only access them on your
own machine. To share a Dash app, you need to “deploy” your Dash app to a
server and open up the server’s firewall to the public or to a restricted
set of IP addresses.

Dash uses Flask under the hood. This makes deployment easy: you can deploy
a Dash app just like you would deploy a Flask app.
Almost every cloud server provider has a guide for deploying
Flask apps. For more, see the official Flask Guide to Deployment
or view the tutorial on deploying to Heroku below.

Dash Enterprise

Dash Enterprise
is Plotly’s commercial product for deploying
Dash Apps on your company’s servers or on AWS, Google Cloud, or Azure.
It offers an enterprise-wide Dash App Portal,
easy git-based deployment, automatic URL namespacing,
built-in SSL support, LDAP authentication, and more.
Learn more about Dash Enterprise or
get in touch to start a trial.

For existing customers, see the Dash Enterprise Documentation.

Dash and Flask

Dash apps are web applications. Dash uses Flask as the web framework.
The underlying Flask app is available at app.server, that is:

import dash

app = dash.Dash(__name__)

server = app.server # the Flask app

You can also pass your own flask app instance into Dash:

import flask

server = flask.Flask(__name__)
app = dash.Dash(__name__, server=server)

By exposing this server variable, you can deploy Dash apps like you would
any Flask app. For more, see the official Flask Guide to Deployment.
Note that

While lightweight and easy to use, Flask’s built-in server is not suitable
for production
as it doesn’t scale well and by default serves only one
request at a time

Heroku Example

Heroku is one of the easiest platforms for deploying and managing public Flask

View the official Heroku guide to Python.

Here is a simple example. This example requires a Heroku account,
git, and virtualenv.

Step 1. Create a new folder for your project:

$ mkdir dash_app_example
$ cd dash_app_example

Step 2. Initialize the folder with git and a virtualenv

$ git init        # initializes an empty git repo
$ virtualenv venv # creates a virtualenv called "venv"
$ source venv/bin/activate # uses the virtualenv

virtualenv creates a fresh Python instance. You will need to reinstall your
app’s dependencies with this virtualenv:

$ pip install dash
$ pip install plotly

You will also need a new dependency, gunicorn, for deploying the app:

$ pip install gunicorn

Step 3. Initialize the folder with a sample app (, a .gitignore file, requirements.txt, and a Procfile for deployment

Create the following files in your project folder:

import os

import dash
import dash_core_components as dcc
import dash_html_components as html

external_stylesheets = ['']

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

server = app.server

app.layout = html.Div([
    html.H2('Hello World'),
        options=[{'label': i, 'value': i} for i in ['LA', 'NYC', 'MTL']],

@app.callback(dash.dependencies.Output('display-value', 'children'),
              [dash.dependencies.Input('dropdown', 'value')])
def display_value(value):
    return 'You have selected "{}"'.format(value)

if __name__ == '__main__':




web: gunicorn app:server

(Note that app refers to the filename
server refers to the variable server inside that file).


requirements.txt describes your Python dependencies.
You can fill this file in automatically with:

$ pip freeze > requirements.txt

4. Initialize Heroku, add files to Git, and deploy

$ heroku create my-dash-app # change my-dash-app to a unique name
$ git add . # add all files to git
$ git commit -m 'Initial app boilerplate'
$ git push heroku master # deploy code to heroku
$ heroku ps:scale web=1  # run the app with a 1 heroku "dyno"

You should be able to view your app at
(changing my-dash-app to the name of your app).

5. Update the code and redeploy

When you modify with your own code, you will need to add the changes
to git and push those changes to heroku.

$ git status # view the changes
$ git add .  # add all the changes
$ git commit -m 'a description of the changes'
$ git push heroku master

This workflow for deploying apps on heroku is very similar to how deployment
works with the Plotly Enterprise’s Dash Enterprise.
Learn more or get in touch.