Visual Intelligence. Beautifully Engineered
Vizro is a toolkit for creating modular data visualization applications
Rapidly self-serve the assembly of customized dashboards in minutes - without the need for advanced coding or design experience - to create flexible and scalable, Python-enabled data visualization applications.
Use a few lines of simple configuration to create complex dashboards, which are automatically assembled using libraries such asPlotlyandDash,with inbuilt coding and design best practices.
Define high-level categories within the configuration, including:
- Components:create charts, tables, input/output interfaces, and more.
- Controls:create filters, parameter inputs, and custom action controllers.
- Pages, layouts and navigation:create multiple pages, with customizable layouts and flexible navigation across them.
- Actions and interactions:create interactions between charts, and use pre-defined or customized actions (such as exporting).
Configuration can be written in multiple formats includingPydantic models,JSON,YAMLorPython dictionariesfor added flexibility of implementation.
Optional high-code extensions enable almost infinite customization in a modular way, combining the best of low-code and high-code - for flexible and scalable, Python enabled data visualization applications.
Visit"Why should I use Vizro?"for a more detailed explanation of Vizro use cases.
Vizro-AI is a separate package and extends Vizro to enable the use of natural language queries to build Plotly charts.
See theVizro-AI documentationfor more details.
You can see Vizro in action by clicking on the following image or by visitingvizro.mckinsey.
pip install vizro
See theinstallation guidefor more information.
Theget started documentationexplains how to create your first dashboard.
See thehow-to guidesfor step-by-step instructions on the key Vizro features.
This repository is a monorepo containing the following packages:
Folder | Version | Documentation |
---|---|---|
vizro-core | Vizro Docs | |
vizro-ai | Vizro-AI Docs |
We encourage you to ask and answer technical questions via theGitHub Issues.This is also the place where you can submit bug reports or request new features.
Thecontribution guidelinesexplain how you can contribute to Vizro.
You can also view current and formercontributors.
See oursecurity policy.
vizro
is distributed under the terms of theApache License 2.0