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Vizro

A toolkit for creating modular data visualization applications (By McKinsey)
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What is Vizro?

It 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.
Vizro is a tool in the Charting Libraries category of a tech stack.
Vizro is an open source tool with GitHub stars and GitHub forks. Here’s a link to Vizro's open source repository on GitHub

Vizro Integrations

Python, Linux, Windows, macOS, and Kedro are some of the popular tools that integrate with Vizro. Here's a list of all 5 tools that integrate with Vizro.

Vizro's Features

  • Visual intelligence, beautifully engineered
  • No need for advanced coding or design experience
  • Create complex dashboards utilizing libraries such as Plotly and Dash

Vizro Alternatives & Comparisons

What are some alternatives to Vizro?
D3.js
It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
Highcharts
Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.
Matplotlib
It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
Plotly.js
It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.
See all alternatives
Related Comparisons
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