# mckinsey/vizro

Vizro is a low-code toolkit for building high-quality data visualization apps.

Repository: https://github.com/mckinsey/vizro
Canonical: https://ross.abutalabs.com/products/vizro
Homepage: https://vizro.readthedocs.io/en/stable/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: dashboard, plotly, plotly-dash, python, pydantic, data-visualization, visualization
Last push: 2026-08-25T23:06:13+00:00

## Health v2 (maintenance only)
Score: 90/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 85, longevity 78
- inputs: {"age_days": 1094, "days_push": 8, "days_rel": 23, "gap_med": 8.5, "n_releases_24m": 69}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3781, forks 297 (observed 2026-08-28T04:08:18.410923+00:00)

## What it is
Vizro is a low-code Python toolkit for building high-quality, multi-page data visualization dashboards and apps. It uses simple Pydantic-based configuration with built-in design best practices, built on Plotly Dash, and supports customization and production deployment.

## Use cases
- build interactive data dashboards in python
- create multi-page analytics apps without frontend skills
- quickly prototype plotly dash dashboards
- build kpi dashboards with filters and controls
- deploy production-ready data visualization apps
- turn dataframes into shareable dashboards

## When to choose
- you want polished, production-ready dashboards with minimal code
- your team knows Python but not web development or design
- you need filters, controls, and cross-component interactions out of the box

## When to avoid
- you need fully custom frontend UIs beyond what the toolkit supports
- you only need static charts rather than interactive apps
- you prefer writing raw Plotly Dash or another framework directly

## Facets
- artifact type: framework
- maturity: active
- function: data-visualization, web-framework, charts, ui-components
- domain: data-visualization, data-science, web-development, analytics
- platform: python, cross-platform
- tags: low-code, plotly-dash, dashboards, pydantic, data-apps, web-server

## Member repositories
- mckinsey/vizro (main) score 90

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:18.410923+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:27:45.485683+00:00, confidence not recorded.
  - readme: https://github.com/mckinsey/vizro (fetched 2026-08-28T04:08:18.410923+00:00, sha d406b0408eb5)
  - registry_pypi: https://pypi.org/pypi/vizro/json (fetched 2026-08-29T09:22:51.273281+00:00, sha 1751592c319b)
- Data as of 2026-08-30T08:39:29.467469+00:00.