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-0.1.25.tar.gz (32.3 MB view details)

Uploaded Source

Built Distribution

vizro-0.1.25-py3-none-any.whl (856.4 kB view details)

Uploaded Python 3

File details

Details for the file vizro-0.1.25.tar.gz.

File metadata

  • Download URL: vizro-0.1.25.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-0.1.25.tar.gz
Algorithm Hash digest
SHA256 57e628543970f4d742f3d30a9dd0d43a271da9e24cc60abfc9384d93e479d691
MD5 7bd769249b4ec93baa40a4ff2f2caf73
BLAKE2b-256 74138cac8cf0ab5a267d18cd49b0690c729e783614868d600d4b3e6e5bdb2b86

See more details on using hashes here.

File details

Details for the file vizro-0.1.25-py3-none-any.whl.

File metadata

  • Download URL: vizro-0.1.25-py3-none-any.whl
  • Upload date:
  • Size: 856.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for vizro-0.1.25-py3-none-any.whl
Algorithm Hash digest
SHA256 f25347b3632b9b526bfdcc3fb46333090c3a4ef03e6a4564e514be1622cca04e
MD5 b5a6f85cf59bbf1f93b5b04831cc5950
BLAKE2b-256 ef88d8faae16dfe357ac84d92e5593e32d6a8b7422f3be9f209ca8c2bfb1dbb7

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