Struggling to choose between ggvis and CanvasJS Charts? Both products offer unique advantages, making it a tough decision.
ggvis is a Data Visualization solution with tags like r, ggplot2, interactive, data-visualization, graphics, web-browser.
It boasts features such as Grammar of Graphics-based visualization using the ggplot2 API, Interactivity through linking graphical elements to data, Built on top of Shiny for reactive programming, Can embed plots in R Markdown documents and Shiny apps, Supports faceting, zooming, panning, etc., Exporting plots to SVG and PNG format and pros including Leverages ggplot2 syntax for easy plotting, Interactivity enables exploration of data, Tight integration with Shiny apps, Can create standalone visualizations to embed in web pages.
On the other hand, CanvasJS Charts is a Development product tagged with charts, graphs, data-visualization, javascript.
Its standout features include 30+ chart types including line, area, column, bar, pie, doughnut, funnel, polar charts, Interactive data visualization, Animations, zooming, panning, Touch support for mobile devices, Canvas rendering for better performance, Export charts as images, Drill down charts, Real-time charts with streaming data, and it shines with pros like Easy to use API, Good documentation, Open source and free, Good performance, Lots of chart types and customization options, Works across devices and browsers.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
ggvis is an R package for creating interactive data visualizations and graphics in a web browser. It builds on the popular ggplot2 package but allows users to add interactivity, make visualizations reusable, and embed them in web pages.
CanvasJS Charts is a JavaScript charting library that enables interactive charts, graphs and data visualizations in web applications. It offers 30+ chart types including line, area, column, bar, pie, doughnut, funnel, polar charts and more.