Dash is a productive Python framework for building web analytic applications.
Written on top of Flask, Plotly.js, and React.js,
Dash is ideal for building data visualization apps
with highly custom user interfaces in pure Python.
It’s particularly suited for anyone who works with data in Python.
Through a couple of simple patterns, Dash abstracts away all of the
technologies and protocols that are required to build an
interactive web-based application.
Dash is simple enough that you can bind a user interface
around your Python code in an afternoon.
Dash apps are rendered in the web browser. You can deploy your apps
to servers and then share them through URLs.
Since Dash apps are viewed in the web browser, Dash is inherently
cross-platform and mobile ready.
There is a lot behind the framework. To learn more about how it is built
and what motivated Dash, watch our talk from
or read our announcement letter.
Dash is an open source library, released under the permissive MIT license.
Plotly develops Dash and offers a
platform for managing Dash apps in an enterprise environment.
Dash Enterprise is the fastest way to write & deploy Dash apps and
Jupyter notebooks. Dash Enterprise can be installed on the Kubernetes
on-premise Linux Server.
10% of the Fortune 500 uses Dash Enterprise to productionize AI and data science apps.
Find out if your company is using Dash Enterprise