# Dash

> Framework for building data apps and dashboards in Python, built on Plotly.js and React.

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Website: https://plotly.com/dash
- Repository: https://github.com/plotly/dash
- License: MIT
- Language: Python
- Status: Active (commits in the last 90 days)
- GitHub stars: 24,441
- Commits in the last 12 months: 1,348
- Contributors: 196
- Last commit: Oct 2, 2026
- Latest release: v4.4.1 (Jul 21, 2026)
- Install (PyPI): `pip install dash`, 1.7M downloads per week
- Topics: Dashboards & BI

## Overview

Dash is an open-source Python visualization library released under the MIT license. Its GitHub repository has 24,441 stars, 2,328 forks, and 196 contributors. It is actively developed with 1,348 commits in the last 12 months. The latest release, v4.4.1, was published on Jul 21, 2026. On PyPI it is downloaded about 1.7M times per week.

## Alternatives

- [Streamlit](https://awesomedataviz.com/tools/streamlit/): Framework for turning Python scripts into interactive data apps. (45.9K stars)
- [Matplotlib](https://awesomedataviz.com/tools/matplotlib/): 2D plotting library. (23.3K stars)
- [Bokeh](https://awesomedataviz.com/tools/bokeh/): Interactive Web Plotting for Python. (20.5K stars)
- [Taipy](https://awesomedataviz.com/tools/taipy/): Python framework for building data and AI web applications with interactive charts and dashboards. (19.4K stars)
- [Plotly (Python)](https://awesomedataviz.com/tools/plotly-python/): Interactive web based visualization built on top of plotly.js (18.8K stars)
- [PyGWalker](https://awesomedataviz.com/tools/pygwalker/): Turns dataframes into a drag-and-drop visual analysis UI in Jupyter, based on Graphic Walker. (16K stars)

## Comparisons

- [Dash vs Streamlit](https://awesomedataviz.com/compare/dash-vs-streamlit/)
- [Dash vs Matplotlib](https://awesomedataviz.com/compare/dash-vs-matplotlib/)
- [Bokeh vs Dash](https://awesomedataviz.com/compare/bokeh-vs-dash/)
- [Dash vs Taipy](https://awesomedataviz.com/compare/dash-vs-taipy/)

Source: https://awesomedataviz.com/tools/dash/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).