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For an R dashboard, choose Quarto Dashboards if you want a Markdown- or notebook-style authoring workflow and may publish static pages or add Shiny; choose Shiny when the dashboard needs server-backed, reactive behavior. Older R Markdown-based flexdashboard can be static or dynamic, while shinydashboard builds dashboard layouts with Shiny UI code. The key decision is whether your dashboard needs a running server—not which framework is universally best.

Decide whether your dashboard needs a server

A static dashboard displays content rendered into web pages. It has no server dependencies for its dashboard behavior, so it can be published as web content. A reactive Shiny dashboard runs as a web application: it can respond to user input through server-backed behavior, and deployment requires a Shiny-capable server or service. Quarto documents this distinction in its dashboard overview and deployment guide.

  • Choose static output when the dashboard can present pre-rendered information and does not need server-backed responses to user input.
  • Choose Shiny-backed output when users need reactive, server-backed interaction. Plan for a Shiny-capable deployment destination.

Some formats support both modes. Pick the authoring approach you prefer, then confirm that it supports the interaction and hosting model you need.

Compare the main R dashboard options

Option Authoring model Interactivity Deployment implication
Quarto Dashboards Markdown- or notebook-style documents; supports R and other languages, with charts, tables, value boxes, annotations, and flexible row and column layouts. Static by default, with an option to integrate Shiny. Static output can be served by general web hosting; Shiny-backed output needs a Shiny-capable destination. See the Quarto overview and deployment guide.
flexdashboard An R Markdown document format for related visualizations. Static or dynamic with Shiny. Static output can be shared as web content; Shiny use requires server deployment. This characterization comes from Posit’s 2019 overview.
shinydashboard Dashboard-oriented layouts authored with Shiny UI code. Dynamic and Shiny-backed. Needs Shiny-capable deployment. The distinction from flexdashboard is described in Posit’s 2019 overview.
Shiny for R A framework for building R web applications; dashboard layouts and components can be added to an app. Reactive and server-backed. Requires a Shiny-capable host or server. Quarto’s deployment guide names shinyapps.io, Shiny Server, and Posit Connect as options.

These options differ in authoring style and deployment requirements. The cited documentation does not establish a universal ease-of-use ranking or measured performance comparison, so evaluate them against your project’s needs rather than assuming one is fastest or simplest.

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How to make the choice

  1. List the interactions your readers need. If users only need to view rendered charts and summaries, a static dashboard may be enough. If changing inputs must trigger server-backed responses, use Shiny.
  2. Pick the authoring model. Quarto Dashboards and flexdashboard use document-oriented workflows; shinydashboard supplies dashboard UI structures for Shiny code, and Shiny itself is the application framework.
  3. Check where it will be published. Confirm whether the intended destination serves static files or supports Shiny applications before you commit to a dashboard mode.
  4. Account for operations. Decide whether you want a managed service or a server your team operates. Hosting choice can affect administration and product-specific capabilities; the framework documentation alone does not establish costs, scale, security compliance, or uptime.

Where to publish an R dashboard

Static dashboards

Quarto says static dashboards can be published to any web server and documents GitHub Pages and Posit Connect Cloud as destinations. Because static output is served as web content, it does not require a Shiny server for dashboard behavior. See the Quarto deployment guide.

Shiny-backed dashboards

A Shiny dashboard is a web application with server dependencies. Quarto’s guide lists shinyapps.io, Shiny Server, and Posit Connect as deployment options. Select a destination whose current documentation supports your app and requirements; availability, supported frameworks, and plans can change.

Posit service direction

Posit’s migration documentation says its current development efforts focus on Connect Cloud and includes a framework-support comparison for Connect Cloud and shinyapps.io. This is product-specific direction, not a blanket reason to migrate: consult the live Connect Cloud migration documentation and the Connect Cloud documentation for current support and service details.

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Learning resources

Mastering Shiny by Hadley Wickham (2021) is a broad guide to Shiny, with dashboards among its use cases. Hands-On Dashboard Development with Shiny focuses more directly on dashboards. Both are optional learning resources, not required software; check edition and package currency against current documentation. See the publisher pages for Mastering Shiny and Hands-On Dashboard Development with Shiny.

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