Data Analytics Made Easy

CanvasXpress: A JavaScript Library for Data Analytics with Full Audit Trail Capabilities.

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CanvasXpress is free for personal and educational use.

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$ yarn add canvasxpress

<link rel="stylesheet" href="https://www.canvasxpress.org/dist/canvasXpress.css"type="text/css"/>
 <script type="text/javascript"src="https://www.canvasxpress.org/dist/canvasXpress.min.js"></script>

Integrate with the frameworks you work

R Integration

Install the CanvasXpress R package from CRAN and use it in the R console, R-Studio or in any Shiny application.

Python Integration

Install the CanvasXpress Python library from PyPI and use it with Jupyter, Flask and Django. (By Dr. Todd C. Brett).

Node Integration

Install the CanvasXpress Node module from npmjs to create visualizations locally or in the cloud.

React Integration

Install the CanvasXpress Node modules from npmjs to easily integrate with React JS. Examples included.

Angular Integration

Install the CanvasXpress Node modules from npmjs to easily integrate with Angular JS. Examples included.

PHP Integration

Use CanvasXpress with PHP in any web environment. Example included.

Explore all features →

# What is CanvasXpress?

CanvasXpress a stand-alone JavaScript Library for Data Analytics. Built for the purpose of reproducible research with a sophisticated and unobtrusive user interface. Full and effortless audit trail of data, configuration and all user interactions in every visualization.

Feature List

Learn how these features can help you develop visualizations easily and serve your stake holders fast.

Open Source

Free for non-commercial and academic use. Please contact us for commercial use. Software released as GPL3.

See license →

User Interface

Rich set of unobtrusive widgets for data analytics embedded in every visualization.

Explore UI →

Software Design

Visualizations optimized to enhance the user experience and facilitate data exploration.

Check Software Design →

Audit Trail

Full tracking of data, configuration and every single user interaction for Reproducible Research.

Check Audit Trail →

File Formats

Create visualizations starting with different file formats. Load data from JSON, XML, CSV or PNG files by simply drag and drop.

Explore File Formats →

Interactive Plots

Rich and dynamic user experience to explore data with mouse-overs, zoom, clicks, resize, drag and drop, menus, tables and more.

Check Interactivity →

Broadcast Events

Built-in automatic broadcast mechanism to comunicate events to all visualizations in web page to highlight, filter-in or filter-out.

Explore Broadcasting →

Data Wrangling

Explore and model data sets by grouping or segregating based on meta data, sorting, clustering, transforming and much more.

Check Data Wrangling →

# When should you use it?

You want to show your data and let your audience explore it. You want to keep track of what they did during the data exploration. You want to do all this fast!