# Vizro

> Low-code toolkit from McKinsey for building data visualization apps and dashboards, built on Dash.

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Website: https://vizro.readthedocs.io/en/stable/
- Repository: https://github.com/mckinsey/vizro
- License: Apache-2.0
- Language: Python
- Status: Active (commits in the last 90 days)
- GitHub stars: 3,797
- Commits in the last 12 months: 319
- Contributors: 48
- Last commit: Oct 2, 2026
- Latest release: 0.1.62 (Oct 2, 2026)
- Install (PyPI): `pip install vizro`
- Topics: Dashboards & BI

## Overview

Vizro is an open-source Python visualization library released under the Apache-2.0 license. Its GitHub repository has 3,797 stars, 302 forks, and 48 contributors. It is actively developed with 319 commits in the last 12 months. The latest release, 0.1.62, was published on Oct 2, 2026.

## Alternatives

- [Streamlit](https://awesomedataviz.com/tools/streamlit/): Framework for turning Python scripts into interactive data apps. (45.9K stars)
- [Dash](https://awesomedataviz.com/tools/dash/): Framework for building data apps and dashboards in Python, built on Plotly.js and React. (24.4K 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)

Source: https://awesomedataviz.com/tools/vizro/ · Data updated 2026-10-05 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).