Interactive Apps

Where Questions Become Queries: Meet querychat

querychat is a multilingual drop-in component for Shiny that allows you to chat with your data using natural language queries. No more clicking, no more limited filters, just you and your questions!

plumber2 0.2.0

The next version of plumber2 has hit CRAN. Read all about the new features such as OpenTelemetry (OTEL) support, authentication, new tags, and performance improvements here

Thomas Lin Pedersen

OpenTelemetry + Shiny for R v1.12

Shiny has added OpenTelemetry support! Now you can pear into your Shiny app’s reactive graph and performance characteristics at scale

Barret Schloerke

Shiny Talks from posit::conf(2025)

A curated playlist and overview of all Shiny-focused sessions from posit::conf(2025), along with workshop materials and links

Tool Calling UI in shinychat

Rich tool calling displays are now available in shinychat!

Garrick Aden-Buie, Carson Sievert, Barret Schloerke

promises v1.5.0

The latest promises release brings hybrid sync/async execution, OpenTelemetry integration for distributed tracing, and significant performance improvements

Barret Schloerke

plumber2 0.1.0

plumber2, a complete rewrite of plumber, has landed on CRAN, providing a modern, future proof solution for creating web servers in R. Read all about the new features here

Thomas Lin Pedersen

Build Your First LLM App with Shiny for Python or R

In the third and final part of The Shiny Side of LLMs, we’ll bring everything together in a polished Shiny app. From covering async, optimizing conversations, to handling loading and errors smoothly. Both Python and R!

Shiny at posit::conf(2025)

Find Shiny talks and workshops at posit::conf(2025) in Atlanta

Shiny Team

Talking to LLMs: From Prompt to Response

In this second part of The Shiny Side of LLMs we get into the fun of actually talking to an LLM. From crafting prompts that get the responses you want, to turning messy outputs into something useful, giving models extra powers with tools, and figuring out what all the chatter really costs

What LLMs Actually Do (and What They Don’t)

Welcome to The Shiny Side of LLMs: a blog series explaining large language models in plain English, without the fancy and difficult buzzwords. In this first part: what LLMs are, how they work, what they’re good at, and why they don’t magically solve all your problems

Posit at SciPy 2025

Catch up on the Shiny team’s talks and tutorials from SciPy 2025

Shiny Team

webR 0.5.4

webR 0.5.4 brings the latest version of R to the browser, with sharing URLs, an upgraded Emscripten runtime, and filesystem support for JupyterLite

George Stagg

Shiny 1.4 brings bookmarking and Generative AI docs

Shiny v1.4 is now available on PyPI! This release includes bookmarking, new Generative AI documentation, and more

Shiny Team

chromote v0.5.0

With the latest chromote release, you can stay up to date with Chrome or pin your scripts to a specific version of Chrome easily

Garrick Aden-Buie

Creating Responsive Layouts in Shiny with layout_columns()

Learn how to use Shiny’s layout_columns() to build adaptive web apps that look great on any screen size

Shiny Team

Level Up Your Shiny Forms: Accordions + Dynamic Goodness

Mastering Shiny Forms: Dynamic Updates with Accordion Panels

Shiny Team

bslib v0.9.0 brings branded theming to Shiny for R

Unified theming is here for R users!

Garrick Aden-Buie

Branded theming for Shiny for Python apps

Unified theming via brand.yml is now available in Shiny for Python

Garrick Aden-Buie

posit::conf(2024) Shiny talks

There were many great talks given at posit::conf(2024) about Shiny and they are now available on YouTube

Andrew Holz

Shiny for Python 1.2.0

Shiny’s @render.data_frame has a new integration with narwhals, gaining support for multiple data frame types!

Shiny Team

Testing Shiny Apps in Python

The shiny add test command simplifies the process of creating test files for Shiny apps, allowing developers to easily generate and run robust tests using built-in UI testing controllers for various components

Shiny Team

WebAssembly roundup part 3: Quarto Live 0.1.1

Quarto Live is a new Quarto extension that uses WebAssembly to bring interactive examples and dynamic code exercises to documents. Create highly engaging interactive elements for readers using standard Quarto markdown syntax

George Stagg

WebAssembly roundup part 2: Shinylive 0.8.0

Shinylive deploys Shiny apps that run completely in the browser. Shinylive 0.8.0 has now been released, with a bunch of bug-fixes, changes to better support multiple apps in a Quarto project, and a new system for including package binaries as part of a fully self-contained bundle

George Stagg

WebAssembly roundup part 1: webR 0.4.2

First in a series of blog posts about what’s new in R for WebAssembly. The latest release of webR 0.4.2 is now available, with updates to the viewer mechanism, support for displaying htmlwidgets, an IndexedDB virtual filesystem driver, and improved packaging for WebAssembly R binaries

George Stagg

Shiny Assistant

Prototype and build Shiny applications with the help of AI

Winston Chang

Announcing Shiny for Python 1.0

Shiny for Python’s level of quality, runtime stability, API and feature set make it ready for a big announcement

Shiny Team

shinyswatch 0.7.0

Customizable shinyswatch themes and an improved theme picker round out shinyswatch v0.7.0

Garrick Aden-Buie

Reintroducing the Shiny Extension for VS Code

The v1.0.0 release of the Shiny extension for VS Code now supports running both Shiny for Python and Shiny for R apps, as well as new ShinyLive features

Garrick Aden-Buie

Editable data tables in Shiny for Python 0.9.0

Editable data frames, empowered renderers, browser error console, and more in Shiny for Python 0.9.0

Shiny Team

Introducing Shiny for Python Templates

Get started quickly with Shiny for Python’s new app templates

Shiny Team

webR 0.3.1

webR 0.3.1 is now available at npm, GitHub, and via CDN. Take a look at what’s new in this release

George Stagg

Shiny for R updates: Extended tasks, JavaScript errors, and many bslib improvements

An overview of recent Shiny for R updates, including extended tasks, JavaScript errors, and many bslib improvements

Carson Sievert

Introducing Component and Layout Galleries for Shiny for Python

Qucikly see and choose Shiny for Python’s Components and Layouts in these new galleries

Introducing: Shiny Express

A brand new way to write Shiny apps in Python

Shiny Team

Shiny for Python 0.6.1

Templates, an improved debugger, and a sneak peek at Shiny Express

Shiny Team

Shiny for R updates: new default look, dark mode, shinylive updates, and more

An overview of recent Shiny for R updates, a new default look, dark mode, shinylive updates, and more

Carson Sievert, Garrick Aden-Buie

Shiny for Python 0.6.0

Fewer decorators, new page functions and, many new components

Shiny Team

ShinyUiEditor: Out of Alpha

We’re excited to announce that ShinyUiEditor, a drag-and-drop interface for building Shiny apps, is officially out of its “alpha” stage

Nick Strayer

Shiny for R updates: tooltips, popovers, a new theme, and more

An overview of recent Shiny for R updates, including tooltips, popovers, a new theme, and more

Carson Sievert, Garrick Aden-Buie

Shiny for Python 0.5.0

Style tweaks, table filtering, tooltips–and an appearance on the Talk Python podcast!

Joe Cheng

Shiny for Python 0.4.0

Better tables and sidebars!

Winston Chang

Towards easy, delightful, and customizable dashboards in Shiny for R with {bslib}

The {bslib} R package nows makes it very easy to make delightful and customizable dashboard in Shiny for R. This post walks through a Shiny app which quickly illustrates what’s possible with these components

Carson Sievert

AI chat apps with Shiny for Python

The easiest way to build an AI chat app

Winston Chang

Shiny on Hugging Face

Deploy Shiny on Hugging Face with the click of a button

Shiny for Python out of alpha

Shiny for Python has moved from alpha to general availability

Winston Chang

Shiny Conf 2023 Recap

Appsilon’s Shiny Conf 2023 was a big success, with many incredible speakers (including 3 members of our team!)

Andrew Holz

New to the ShinyUiEditor: bslib Cards!

The latest version of {shinyuieditor} includes the new card component from {bslib}. In this post, we describe how you can use these cards and a new static-text component to easily organize your app’s content in a visually appealing way

Nick Strayer

Announcing new R Shiny UI components

The {bslib} R package recently added new user interface (UI) components, including (full-screen) Cards, Value Boxes, and a responsive column wrapping layout. Start using them today in Shiny, R Markdown, and/or Quarto

Carson Sievert

The Past and Future of Shiny

To celebrate Shiny’s 10th anniversary, let’s talk about how we started and where we’re going

Joe Cheng

Integrating Dynamic R and Python Models in Tableau Using plumbertableau

The plumbertableau and fastapitableau packages allow you to integrate dynamic R and Python models in Tableau, enhancing your organization’s preferred dashboard tool

How To Augment Tableau With R & Python - A Webinar and Case Study from Sweden

In an upcoming webinar on November 17th, Solita will showcase how they successfully combined the strengths of RStudio and Tableau at one of Sweden’s largest government agencies

How the “Clusterbuster” Shiny App Helps Hundreds of Doctors and Epidemiologists Battle COVID-19 in the Netherlands

In this post, we explore the creation and evolution of the Clusterbuster, a Shiny app developed by the Dutch National Institute for Public Health and the Environment. Hundreds of doctors and epidemiologists use the Clusterbuster to gain insight into COVID-19 clusters in the Netherlands

Embedding Shiny Apps in Tableau Dashboards Using shinytableau

This post introduces and walks through shinytableau, a package that allows you to create dashboard extensions that embed Shiny apps in Tableau. Users can take advantage of R’s powerful visualization and reporting capabilities when working in Tableau dashboards

Top 3 Coding Best Practices from the Shiny Contest

Three coding best practices from Shiny Contest winners: modules, custom CSS, and reactive organization

Nick Strayer

Weather App Story Pt. 3: Styling

The bslib package allows for extremely easy customization of your Shiny app’s style using the bootstrap css framework. It also allows you to update theming in a running app to create dynamicly styled apps

Nick Strayer

plumber 1.1.0

{plumber} v1.1.0 is now on CRAN! In this post, we’ll highlight some of the most exciting new features in both the v1.1.0 and v1.0.0 releases, including: parallel endpoint execution, a tidy interface, and request body parsing

Barret Schloerke, Carson Sievert

Introducing Shiny App Stories

App Stories are a bit different from the User Showcase: an App Story will center around a Shiny application, but the application will be designed specifically to show off specific features, and it will also include explanations of how to use those features

Winston Chang, Nick Strayer

Shiny 1.6

Shiny 1.6 is now on CRAN! This release includes significant improvements to theming, caching, accessibility, and more

Carson Sievert, Winston Chang, Barret Schloerke

Learning R Coding by Building Something Cool

Learning how to build a shiny dashboard, and through that gaining a deeper understanding of R coding

Weather App Story Pt. 2: Caching

Here we demonstrate how the bindCache() function can greatly speed up a Shiny app with little effort

Nick Strayer

Custom Google Analytics Dashboards with R: Building The Dashboard

In this post, I continue our series on how to create your own Google Analytics dashboard in R. Using the data we downloaded in our last post, we’ll now create a simple dashboard showing blog page views over time and highlighting the most popular ones

Weather App Story Pt. 1: About

Functionality and architecture overview of the Weather Lookup app

Nick Strayer

4 Tips to Make Your Shiny Dashboard Faster

Yes, Shiny apps can be fast and scalable. But only if you build them in the right way and use the proper tools

learnr 0.10.0

learnr 0.10.0: new quiz question types including text boxes and drag-and-drop ranking

Barret Schloerke

Shiny 1.4.0

Shiny 1.4.0: trailing commas now work in UI functions like div() and span()

Winston Chang

The Shiny Developer Series

The Shiny Developer Series: video interviews with package authors and advanced Shiny techniques

Shiny v1.3.2

Shiny 1.3.2: reactlog for visually debugging reactivity and faster static file serving

Joe Cheng

Shiny 1.2.0: Plot caching

Shiny 1.2.0: plot caching with renderCachedPlot for dramatically improved performance under load

Joe Cheng

Shiny 1.1.0: Scaling Shiny with async

Shiny 1.1.0: async programming support via future and promises for better scalability under load

Joe Cheng

leaflet 2.0.0

Barret Schloerke

DT 0.4: Editing Tables, Smart Filtering, and More

DT 0.4: editable tables, smart filtering, and shift-click row selection for Shiny apps

pool package on CRAN

pool package: connection pooling for databases in Shiny apps with automatic connection management

Shiny Dev Center gets a shiny new update

Shiny Dev Center redesigned: clearer learning paths and updated articles for Shiny developers

Mine Çetinkaya-Rundel

Shiny 1.0.4

Shiny 1.0.4: drag-and-drop file inputs, dynamic tab management, and onStop callbacks

Winston Chang

Shiny 1.0.4

Winston Chang

shinydashboard 0.6.0

shinydashboard 0.6.0: bookmarkable state for sidebars and new inputs for tracking collapsed state

Shiny 1.0.1

Shiny 1.0.1 adds reactiveVal() for single reactive values and HTML content in radio buttons and checkboxes

leaflet 1.1.0

leaflet 1.1.0 adds text labels, shape highlighting, awesome-markers, sf support, custom projections, and viridis palettes

Joe Cheng

shinythemes 1.1.1

shinythemes 1.1.1 adds new Bootstrap themes from bootswatch.com and a live theme selector for Shiny apps

Winston Chang

Shiny Server (Pro) 1.4.6

Shiny Server 1.4.6 includes bug fixes and security mitigations; Pro users on SSL/TLS should upgrade for OpenSSL patches

Joe Cheng

Shiny 0.14

Shiny 0.14 adds bookmarkable state, notifications, modal dialogs, insertUI/removeUI, and database connection docs

Winston Chang

A New Version of DT (0.2) on CRAN

DT 0.2 adds the Buttons extension, row/column/cell selection, and functions to modify tables without rebuilding

flexdashboard: Easy interactive dashboards for R

Introducing flexdashboard: create interactive dashboards with R Markdown, htmlwidgets, and optional Shiny components

RStudio Team

Shiny JavaScript Tutorials

New tutorial series on creating custom JavaScript widgets for Shiny using libraries like c3.js, d3.js, and intro.js

ShinyDevCon videos now available

Videos from the 2016 Shiny Developer Conference covering reactive programming, modules, gadgets, and debugging

Joe Cheng

Shiny 0.13.0

Shiny 0.13.0 introduces Gadgets for interactive tools, HTML templates, modules for managing complexity, and stack traces

Winston Chang

Shiny Developer Conference | Stanford University | January 2016

Announcing the first Shiny Developer Conference at Stanford, January 2016, for developers ready to build performant, robust Shiny apps

Joe Cheng

Article Spotlight: Persistent data storage in Shiny apps

Article spotlight: Dean Attali explains how to save Shiny app data to local files, databases, and cloud storage for persistence

Leaflet: Interactive web maps with R

Create interactive web maps in R with leaflet: markers, polygons, popups, GeoJSON support, and seamless Shiny integration

DT: An R interface to the DataTables library

DT brings DataTables to R: sortable, filterable, paginated HTML tables with column formatting and Shiny integration

d3heatmap: Interactive heat maps

d3heatmap creates interactive heat maps with D3.js: zoom by dragging, highlight rows/columns on click, hover to see values

Joe Cheng

New Shiny cheat sheet and video tutorial

New free Shiny video tutorial (2.5 hours) and updated cheat sheet covering app architecture, reactivity, inputs, layouts, and CSS

Shiny 0.12: Interactive Plots with ggplot2

Shiny 0.12 adds interactive plots for base graphics and ggplot2: capture mouse clicks, hovers, and brushes to select points

Joe Cheng

Interactive time series with dygraphs

dygraphs brings interactive time series charts to R: pan, zoom, highlight, annotate, and embed in R Markdown or Shiny

RStudio Team

Design patterns for action buttons

New Shiny article: five design patterns for action buttons using observeEvent() and eventReactive()

Shiny 0.11, themes, and dashboard

Shiny 0.11 migrates to Bootstrap 3, adds improved sliders, passwordInput(), observeEvent(), plus new shinythemes and shinydashboard packages

Winston Chang

htmlwidgets: JavaScript data visualization for R

Introducing htmlwidgets: bring JavaScript visualization libraries to R. Works in console, R Markdown, and Shiny

RStudio Team

ggvis 0.4

ggvis 0.4 adds layer_boxplots(), better error handling, and more reliable interactive graphics with dynamic data

Winston Chang

Shiny 0.10.2

Shiny 0.10.2 adds single-file apps (app.R), progress bars, IE 8/9 file uploads, and upgrades DataTables to 1.10

Track how visitors use your Shiny app with Google Analytics

New article: track visitors and usage patterns in your Shiny apps using Google Analytics and jQuery

Shiny 0.10.1

Shiny 0.10.1 adds full Unicode support on Windows, ‘user/repo’ syntax for runGitHub(), and inline output options

Master interactive documents at the Shiny Dev Center

New Shiny Dev Center articles: create interactive documents and slideshows by embedding Shiny in R Markdown

Shiny cheat sheet

New Shiny cheat sheet: quick reference for app structure, reactive foundations, layouts, and deployment

Introducing ggvis

Introducing ggvis: grammar of graphics meets interactivity. Create reactive, browser-rendered plots with Shiny integration

Winston Chang

Shiny 0.10

Shiny 0.10 adds interactive document support, flowLayout/splitLayout, validate/need for errors, and server-side selectize

Joe Cheng

Interactive documents: An incredibly easy way to use Shiny

Interactive documents: embed Shiny widgets in R Markdown for live, interactive reports—no separate server.R/ui.R needed

Comment sections and help instructions at the Shiny Dev Center

Shiny Dev Center adds Disqus comments on all articles and a new guide on getting help with Shiny

New Shiny article: Style your apps with CSS

New article: customize your Shiny app’s appearance using CSS files and inline styles

New Shiny website launched; Shiny 0.9 released

Shiny Dev Center launches at shiny.rstudio.com. Shiny 0.9 adds grid layouts, navbar pages, selectize inputs, and showcase mode

Joe Cheng

Shiny Server 0.4

Shiny Server 0.4 brings pre-built installers for Ubuntu and RedHat, plus a beta of Shiny Server Pro

RStudio Team

Shiny 0.8.0 released; Yihui Xie joins RStudio

Shiny 0.8.0 adds DataTables support and visual debugging tools. Also: Yihui Xie joins RStudio!

Joe Cheng

Shiny 0.4.0 now available

Shiny 0.4.0 simplifies the reactive API and suspends invisible outputs to reduce server load

Winston Chang

Shiny 0.3.0 released

Shiny 0.3.0 improves reactive scheduling efficiency and adds runGitHub() for running apps from GitHub

Winston Chang

Shiny Server now available

Shiny Server public beta: host multiple Shiny apps on Linux and share them over the web

Joe Cheng

An update on Shiny

Shiny 0.2.3 adds file downloads; plus a preview of the upcoming free, open-source Shiny Server

Joe Cheng

Introducing Shiny: Easy web applications in R

Introducing Shiny: a new R package that makes it simple to build interactive web applications

Joe Cheng