ggvis vs ChartBlocks

Struggling to choose between ggvis and ChartBlocks? 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, ChartBlocks is a Office & Productivity product tagged with charts, dashboards, reports, business-intelligence, data-visualization.

Its standout features include Drag-and-drop interface to create charts/dashboards, Prebuilt chart templates, Connect to data sources like Excel, SQL databases, Collaboration tools to share dashboards, Scheduled report generation and distribution, Mobile optimization of dashboards, Customizable themes and branding, Integration with other apps via API, and it shines with pros like Intuitive and easy to use, Great for non-technical users, Good selection of basic chart types, Decent collaboration features, Can be used to create simple dashboards quickly.

Feature	ggvis	ChartBlocks
Overall Score	N/A	N/A
Primary Category	Data Visualization	Office & Productivity

Product Overview

ggvis

Description: 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.

ChartBlocks

Description: ChartBlocks is a data visualization and business intelligence software that allows users to create interactive charts, dashboards, and reports. It has drag-and-drop functionality for building visualizations quickly without coding.

Key Features Comparison

ggvis Features

• 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

ChartBlocks Features

• Drag-and-drop interface to create charts/dashboards
• Prebuilt chart templates
• Connect to data sources like Excel, SQL databases
• Collaboration tools to share dashboards
• Scheduled report generation and distribution
• Mobile optimization of dashboards
• Customizable themes and branding
• Integration with other apps via API

Pros & Cons Analysis

ggvis

Pros

• 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

Cons

• Limited adoption compared to static ggplot2
• Interactivity requires knowledge of reactivity in Shiny
• Less customizable than D3.js for web-based graphics

ChartBlocks

Pros

• Intuitive and easy to use
• Great for non-technical users
• Good selection of basic chart types
• Decent collaboration features
• Can be used to create simple dashboards quickly

Cons

• Limited advanced analytics/BI capabilities
• Less flexibility than coding visualizations
• Moderate learning curve for some advanced features
• Mobile experience could be better
• Lacks forecasting, predictive analytics

Pricing Comparison

ggvis

• Open Source

ChartBlocks

• Freemium
• Subscription-Based