rstudio/shiny

Easy interactive web applications with R

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Summary Information

Updated 23 minutes ago
Added to GitGenius on September 11th, 2026
Created on June 20th, 2012
Open Issues & Pull Requests: 866 (+0)
GitHub issues: Enabled
Number of forks: 1,888
Total Stargazers: 5,683 (+0)
Total Subscribers: 314 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 22.4 hours
Mean response time: 244.8 days
90th percentile: 1082.3 days
Tracked items: 220

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 85% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 6% of issues opened in the past year have been closed. Three people close 84% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 91
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 989 days
Stale 30+ days: 87
Stale 90+ days: 80

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • Priority: Low (15)
  • ai-triage:done (10)
  • Type: Enhancement :bulb: (8)
  • Effort: Low (7)
  • Priority: Medium (7)
  • Docs (6)
  • Difficulty: Advanced (4)
  • Difficulty: Novice (4)

Detailed Description

Shiny is a web application framework that enables developers to build interactive web applications directly in R without requiring knowledge of HTML, CSS, or JavaScript.

Shiny solves the problem of making R analysis and computations accessible through interactive web interfaces. It works by providing a reactive programming model where outputs automatically update when inputs change. Developers define a user interface using R functions that generate HTML, and a server function that contains the logic connecting inputs to outputs. The framework handles the communication between browser and R server, allowing analysts to focus on their application logic rather than web infrastructure.

Shiny suits data scientists and statisticians who want to share interactive analyses, dashboards, and tools with non-technical users without learning web development. It works well for exploratory data analysis applications, real-time monitoring dashboards, and internal business tools where rapid development matters more than building a standalone web service. Teams already invested in R workflows benefit most from Shiny since it keeps analysis and presentation in a single language and environment.

The project maintains a steady stream of enhancements and bug fixes across its core reactive system and UI components. Development addresses both foundational improvements to the reactive programming model and practical additions to the component library. The maintainers actively respond to community issues and incorporate feedback into releases. The codebase shows consistent attention to backward compatibility while evolving the framework's capabilities.