Metadata-Version: 2.1
Name: vizro
Version: 0.1.2
Summary: Vizro is a package to facilitate visual analytics.
Project-URL: Documentation, https://github.com/mckinsey/vizro#readme
Project-URL: Issues, https://github.com/mckinsey/vizro/issues
Project-URL: Source, https://github.com/mckinsey/vizro
Author: Vizro Team
License-File: LICENSE.txt
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.8
Requires-Dist: dash-bootstrap-components
Requires-Dist: dash-daq
Requires-Dist: dash>=2.11
Requires-Dist: ipython>=8.10.0
Requires-Dist: markupsafe
Requires-Dist: numpy>=1.22.2
Requires-Dist: pandas
Requires-Dist: pydantic<2.0.0
Requires-Dist: setuptools>=65.5.1
Requires-Dist: tornado>=6.3.2
Provides-Extra: kedro
Requires-Dist: kedro>=0.17.3; extra == 'kedro'
Requires-Dist: wheel>=0.38.0; extra == 'kedro'
Description-Content-Type: text/markdown

<br/><br/>

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  <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/mckinsey/vizro/main/.github/images/Vizro_Github_Banner_Light_Mode.png">
  <img alt="Vizro logo" src="https://raw.githubusercontent.com/mckinsey/vizro/main/.github/images/Vizro_Github_Banner_Dark_Mode.png" width="250">
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<div align="center" markdown="1">

[![Python version](https://img.shields.io/badge/python-3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11-blue.svg)](https://pypi.org/project/vizro/)
[![PyPI version](https://badge.fury.io/py/vizro.svg)](https://badge.fury.io/py/vizro)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/mckinsey/vizro/blob/main/LICENSE.md)
[![Documentation](https://readthedocs.org/projects/vizro/badge/?version=stable)](https://vizro.readthedocs.io/)
[![OpenSSF Best Practices](https://www.bestpractices.dev/projects/7858/badge)](https://www.bestpractices.dev/projects/7858)

</div>

<div align="center" markdown="1">

<a href="https://vizro.readthedocs.io/en/latest/" target="_blank">Documentation </a> |
<a href="https://vizro.readthedocs.io/en/latest/pages/tutorials/first_dashboard/" target="_blank">Get Started </a> |
<a href="http://vizro.mckinsey.com/" target="_blank">Live Demo </a>

</div>

---

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<img src="https://raw.githubusercontent.com/mckinsey/vizro/main/.github/images/example_screens.png" width="700"/>
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<font size="+2">
<b>
Visual Intelligence. Beautifully engineered
</b>
</font>
</p>

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<font size="+1">
Vizro is a toolkit for creating modular data visualization applications
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</p>

<p align="center">
<img src="https://raw.githubusercontent.com/mckinsey/vizro/main/.github/images/tech_logos.png" width="270"/>
</p>

## What is Vizro?

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<font size="+1">
Rapidly self-serve the assembly of customised dashboards in minutes - without the need for advanced coding or design experience - to create flexible and scalable, Python enabled data visualization applications
</font>
</p>

<p align="center">
<img src="https://raw.githubusercontent.com/mckinsey/vizro/main/.github/images/code_dashboard.png" width="1300"/>
</p>

Use a few lines of simple configuration to create complex dashboards, which are automatically assembled utilising libraries such as [**Plotly**](https://github.com/plotly/plotly.py) and [**Dash**](https://github.com/plotly/dash), 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 customisable layouts and flexible navigation across them
- **actions and interactions**: create interactions between charts, and use pre-defined or customised actions (such as exporting)

Configuration can be written in multiple formats including **Pydantic models**, **JSON**, **YAML** or **Python dictionaries** for added flexibility of implementation

Optional high-code extensions allow almost infinite customisation in a modular way, combining the best of low-code and high-code - for flexible and scalable, Python enabled data visualization applications

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### Key benefits

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<p align="center">
<img src="https://raw.githubusercontent.com/mckinsey/vizro/main/.github/images/value_prop_icons.png" width="900"/>
</p>

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### Examples

<p align="center">
<img src="https://raw.githubusercontent.com/mckinsey/vizro/main/.github/images/dashboard_examples.png" width="1300"/>
</p>

### Live demo

<p align="left">
<a href="http://vizro.mckinsey.com/">
<img border="0" src="https://raw.githubusercontent.com/mckinsey/vizro/main/.github/images/live_interactive_demo.png" width="525" height="296">  </a>
</p>

## Installation

```console
pip install vizro
```

See the [Install guide](https://vizro.readthedocs.io/en/latest/pages/user_guides/install/) for more information

Please note this repository is a monorepo and the core `vizro` package can be found in [/vizro-core](https://github.com/mckinsey/vizro/tree/main/vizro-core)

## Getting started

See the [Tutorials](https://vizro.readthedocs.io/en/latest/pages/tutorials/first_dashboard/) for creating your first dashboard

## Documentation

See the [Documentation](https://vizro.readthedocs.io/en/latest/) for more details

## Community and Development

We encourage you to ask and answer technical questions via the [GitHub Issues](https://github.com/mckinsey/vizro/issues). This is also the place where you can submit bug reports or request new features.

## Contributing

To learn more about making a contribution,
please see the [Contributing Guide](https://vizro.readthedocs.io/en/latest/pages/development/contributing/) for more information

You can also view current and former [contributors](https://vizro.readthedocs.io/en/latest/pages/development/authors/)

## Reporting a Security Vulnerability

Please see our [security policy](https://github.com/mckinsey/vizro/security/policy)

## License

`vizro` is distributed under the terms of the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)
