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APPS

Dash: the open-source Python framework for data applications

Read Docs View on GitHub

pip install dash

Deploy on Plotly Cloud →Deploy on Dash Enterprise →

The most popular Python framework for analytical web apps

24K+

GitHub stars

10M+

PyPI downloads per month

8+

years of active development

How it works

30 lines of Python. A fully interactive web app.

1. Define your layout

Use Python to declare your UI — dropdowns, graphs, sliders, tables, and 100+ other components. No HTML templates.

2. Write callbacks

Decorate plain Python functions with

@app.callback

When an input changes, Dash calls your function and updates the UI automatically.

3. Run it

python app.py

and open your browser. That's it. Your app is live at localhost and ready to deploy.

app.py

from dash import Dash, dcc, html, Input, Output 
import plotly.express as px 
import pandas as pd  

df = pd.read_csv(
"https://raw.githubusercontent.com/"     "plotly/datasets/master/gapminder_unfiltered.csv" 
)  

app = Dash()

Build a Dash app for...

Five words that decide what you inherit. Without them, Claude may build you two applications and an API contract to keep in sync. With them, one Python app where callbacks call pandas directly. Naming the framework sets your architecture, your supply chain risk, and your token bill.

Learn how Dash compares to full stack →

Works with AI too

Easy for you. Easy for AI agents.

Describe what you want

Tell your AI coding agent — Claude, Cursor, Copilot, or any other — to build you a Dash app. "Show me a dashboard that lets me filter sales by region and date." That's the whole prompt.

Get a working app in minutes

The agent generates a complete Dash application — layout, callbacks, charts, and a runnable server. Not a skeleton. Not a TODO list. A working app you can open in a browser.

Iterate or ship — your call

Use it as-is for a quick internal tool, or keep building. Add authentication, new pages, custom styling. Because Dash is a real framework, your AI-generated prototype doesn't hit a wall — it grows into your production app.

Pure Python reactive

Wire UI to Python. No HTML, CSS, or JavaScript - just functions and decorators.

@callback

The decorator that turns a Python function into a piece of reactive UI. Inputs, outputs, and state— all declared in Python.

Pattern-matching callbacks

Generate dynamic layouts that wire up automatically. Add or remove components at runtime without rewriting your callbacks.

Clientside & background

Clientside callbacks run instantly in the browser. Background callbacks offload long jobs without freezing the UI.

Components for serious analytics

Spreadsheet-class grids. Production-ready charts.
Complete component libraries — accessible from Python, React under the hood.

Dash AG Grid

Filtering, grouping, pivoting, and editing at enterprise scale. The same grid powering data-heavy apps inside global banks.

View the AG Grid docs →

Dash Mantine + Bootstrap

Complete UI kits - buttons, modals, tabs, layouts - wired up from Python with no front-end work required.

View the component libraries →

dcc.Graph

Embed any Plotly figure into a Dash app with crossfiltering, selection, and click events wired to Python callbacks.

View the dcc.Graph docs →

Production ready

From prototype to production data application.
Dash apps run in regulated industries, on global infrastructure, behind firewalls.

Multi-page apps

Dash Pages handles file-based routing, layout composition, and navigation state — modern web framework patterns, written in Python.

Streaming & long-running tasks

WebSocket support, set_props for incremental updates, and background callbacks keep dashboards responsive under load.

Deploys anywhere

Easy, fast, one-click deployment to Plotly Cloud and Dash Enterprise. Can be deployed on other platforms.

Tech Specs

License MIT (open source)	Form factor Python framework	Install `pip install dash`
Languages Python	Build on Flask (server) + React (client) + plotly.js	Components dcc, html, Bio, Cytoscape, AG Grid, DataTable, Mantine, plus community libraries
State model Server-side reactive callbacks; pattern-matching, clientside, background, long	Streaming WebSocket and SSE via dash-extensions; long-callbacks for jobs	Auth None built-in, bring your own (Flask-Login, Auth0, OIDC) or use authentication libraries included with Plotly Cloud and Dash Enterprise.
Server Any WSGI server: Gunicorn, uWSGI, mod_wsgi; ASGI via async wrappers	Hosts on Plotly Cloud, Dash Enterprise, Kubernetes, Heroku, AWS, Azure, GCP	Dev loop Hot reload, debug toolbar, callback graph inspector
Testing dash[testing] with pytest + Selenium/Playwright drivers	Versioning SemVer; 12-month deprecation policy on public APIs	Python 3.9+
Source `plotly/dash`on GitHub, 43k+ stars

License MIT (open source)	Form factor Python framework
Install `pip install dash`	Languages Python
Build on Flask (server) + React (client) + plotly.js	Components dcc, html, Bio, Cytoscape, AG Grid, DataTable, Mantine, plus community libraries
State model Server-side reactive callbacks; pattern-matching, clientside, background, long	Streaming WebSocket and SSE via dash-extensions; long-callbacks for jobs
Auth None built-in, bring your own (Flask-Login, Auth0, OIDC) or use authentication libraries included with Plotly Cloud and Dash Enterprise.	Server Any WSGI server: Gunicorn, uWSGI, mod_wsgi; ASGI via async wrappers
Hosts on Plotly Cloud, Dash Enterprise, Kubernetes, Heroku, AWS, Azure, GCP	Dev loop Hot reload, debug toolbar, callback graph inspector
Testing dash[testing] with pytest + Selenium/Playwright drivers	Versioning SemVer; 12-month deprecation policy on public APIs
Python 3.9+	Source `plotly/dash`on GitHub, 43k+ stars

License

MIT (open source)

Form factor

Python framework

Install

pip install dash

Languages

Python

Build on

Flask (server) + React (client) + plotly.js

Components

dcc, html, Bio, Cytoscape, AG Grid, DataTable, Mantine, plus community libraries

State model

Server-side reactive callbacks; pattern-matching, clientside, background, long

Streaming

WebSocket and SSE via dash-extensions; long-callbacks for jobs

Auth

None built-in, bring your own (Flask-Login, Auth0, OIDC) or use authentication libraries included with Plotly Cloud and Dash Enterprise.

Server

Any WSGI server: Gunicorn, uWSGI, mod_wsgi; ASGI via async wrappers

Hosts on

Plotly Cloud, Dash Enterprise, Kubernetes, Heroku, AWS, Azure, GCP

Dev loop

Hot reload, debug toolbar, callback graph inspector

Testing

dash[testing] with pytest + Selenium/Playwright drivers

Versioning

SemVer; 12-month deprecation policy on public APIs

Python

3.9+

Source

plotly/dashon GitHub, 43k+ stars

Build your first Dash app in 20 minutes.

Read the quickstart →

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APPS

Dash: the open-source Python framework for data applications

24K+

10M+

8+

How it works

30 lines of Python. A fully interactive web app.

1. Define your layout

2. Write callbacks

3. Run it

Build a Dash app for...

Works with AI too

Easy for you. Easy for AI agents.

Describe what you want

Get a working app in minutes

Iterate or ship — your call

Pure Python reactive

Wire UI to Python. No HTML, CSS, or JavaScript - just functions and decorators.

@callback

Pattern-matching callbacks

Clientside & background

Components for serious analytics

Spreadsheet-class grids. Production-ready charts.Complete component libraries — accessible from Python, React under the hood.

Dash AG Grid

Dash Mantine + Bootstrap

dcc.Graph

Production ready

From prototype to production data application.Dash apps run in regulated industries, on global infrastructure, behind firewalls.

Multi-page apps

Streaming & long-running tasks

Deploys anywhere

Tech Specs

License

Form factor

Install

Languages

Build on

Components

State model

Streaming

Auth

Server

Hosts on

Dev loop

Testing

Versioning

Python

Source

License

Form factor

Install

Languages

Build on

Components

State model

Streaming

Auth

Server

Hosts on

Dev loop

Testing

Versioning

Python

Source

License

Form factor

Install

Languages

Build on

Components

State model

Streaming

Auth

Server

Hosts on

Dev loop

Testing

Versioning

Python

Spreadsheet-class grids. Production-ready charts.
Complete component libraries — accessible from Python, React under the hood.

From prototype to production data application.
Dash apps run in regulated industries, on global infrastructure, behind firewalls.