Shiny VS Code Extension
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
Editable data frames, empowered renderers, browser error console, and more in Shiny for Python 0.9.0
Get started quickly with Shiny for Python’s new app templates
webR 0.3.1 is now available at npm, GitHub, and via CDN. Take a look at what’s new in this release
An overview of recent Shiny for R updates, including extended tasks, JavaScript errors, and many bslib improvements
The Posit Connect command-line interface
Publish Shiny Applications, RMarkdown Documents, Jupyter Notebooks, Plumber APIs, and more
Qucikly see and choose Shiny for Python’s Components and Layouts in these new galleries
Theme ggplot2, lattice, and base graphics based on a few simple settings
A brand new way to write Shiny apps in Python
Templates, an improved debugger, and a sneak peek at Shiny Express
A GUI for laying out a Shiny application that generates clean and human-readable UI code
Easily insert FontAwesome icons into R Markdown docs and Shiny apps
An overview of recent Shiny for R updates, a new default look, dark mode, shinylive updates, and more
HTTP and WebSocket server package for R
Fewer decorators, new page functions and, many new components
We’re excited to announce that ShinyUiEditor, a drag-and-drop interface for building Shiny apps, is officially out of its “alpha” stage
An overview of recent Shiny for R updates, including tooltips, popovers, a new theme, and more
Style tweaks, table filtering, tooltips–and an appearance on the Talk Python podcast!
Interactive Tutorials with R Markdown
Easy interactive dashboards for R
Better tables and sidebars!
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
Visualize R profiling data
Tools for HTML generation and output
Authoring Books and Technical Documents with R Markdown
The easiest way to build an AI chat app
Deploy Shiny on Hugging Face with the click of a button
Tools for load testing Shiny applications
Shiny for Python has moved from alpha to general availability
Shiny Reactivity Visualizer
Appsilon’s Shiny Conf 2023 was a big success, with many incredible speakers (including 3 members of our team!)
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
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
To celebrate Shiny’s 10th anniversary, let’s talk about how we started and where we’re going
Take screenshots of web pages from R
Package for setting up CSS grid layouts in Shiny apps or RMarkdown documents
R package for creating Plumber APIs that function as Tableau Analytics Extensions
The plumbertableau and fastapitableau packages allow you to integrate dynamic R and Python models in Tableau, enhancing your organization’s preferred dashboard tool
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
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
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
Three coding best practices from Shiny Contest winners: modules, custom CSS, and reactive organization
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
Distill for R Markdown
{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
Record and expose Shiny app logic using metaprogramming
Tools for teachers to use with learnr
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
Shiny 1.6 is now on CRAN! This release includes significant improvements to theming, caching, accessibility, and more
Here we demonstrate how the bindCache() function can greatly speed up a Shiny app with little effort
Functionality and architecture overview of the Weather Lookup app
Themes for Shiny
Yes, Shiny apps can be fast and scalable. But only if you build them in the right way and use the proper tools
R htmlwidget for Sortable.js
learnr 0.10.0: new quiz question types including text boxes and drag-and-drop ranking
Shiny 1.4.0: trailing commas now work in UI functions like div() and span()
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