Skip to main content

Vizro is a package to facilitate visual analytics.

Project description



Vizro logo



Python version PyPI version License Documentation OpenSSF Best Practices


Visual Intelligence. Beautifully engineered

Vizro is a toolkit for creating modular data visualization applications

What is Vizro?

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 utilizing libraries such as Plotly and 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 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 including Pydantic models, JSON, YAML or Python dictionaries for added flexibility of implementation

Optional high-code extensions allow 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 the "Why Vizro" section to see a more detailed explanation of Vizro use cases)


Key benefits of Vizro



Vizro examples gallery

You can see Vizro in action by clicking on the following image or by visiting the examples gallery at vizro.mckinsey.com.

Visual vocabulary

Our visual vocabulary dashboard helps you to select and create various types of charts. It helps you decide when to use each chart type, and offers sample Python code to create these charts with Plotly and embed them into a Vizro dashboard.

Dashboard screenshots

Installation

pip install vizro

See the Install guide for more information

Please note this repository is a monorepo and the core vizro package can be found in /vizro-core

Getting started

See the Tutorials for creating your first dashboard

Documentation

See the Documentation for more details

Community and Development

We encourage you to ask and answer technical questions via the GitHub 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 for more information

You can also view current and former contributors

Reporting a Security Vulnerability

Please see our security policy

License

vizro is distributed under the terms of the Apache License 2.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vizro-0.1.27.tar.gz (32.3 MB view details)

Uploaded Source

Built Distribution

vizro-0.1.27-py3-none-any.whl (858.1 kB view details)

Uploaded Python 3

File details

Details for the file vizro-0.1.27.tar.gz.

File metadata

  • Download URL: vizro-0.1.27.tar.gz
  • Upload date:
  • Size: 32.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for vizro-0.1.27.tar.gz
Algorithm Hash digest
SHA256 848c1a7a27253b0154c7436874cdba388eca68f5d79cbf8b7038715e01682357
MD5 13dbc8ea24bc85778860410ce8ae71cd
BLAKE2b-256 fc7e9cf5da1b522cdf5d4c0506ab7490d325db394fdf810c4490822e466ec1a5

See more details on using hashes here.

File details

Details for the file vizro-0.1.27-py3-none-any.whl.

File metadata

  • Download URL: vizro-0.1.27-py3-none-any.whl
  • Upload date:
  • Size: 858.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for vizro-0.1.27-py3-none-any.whl
Algorithm Hash digest
SHA256 5496d1c541cd121ed0e2a940d55065a29dfa02fe058d5990826b1b6e5ff044bb
MD5 d34b449880e9ee1584c79de5e2300eab
BLAKE2b-256 887b4373aa82c4e584462a6a59bf048a60ab95cc6498451c7dc8ca84c52e3e00

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page