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Glass themes for Shiny, built on bslib. Add translucent surfaces, live light/dark switching, and adjustable glass intensity to your app.
Documentation · Theming guide · Release notes
CRAN 0.4.0:
install.packages("shinyglass")Development builds (GitHub):
# install.packages("remotes")
remotes::install_github("ericrayanderson/shinyglass")library(shiny)
library(shinyglass)
ui <- glass_page(
title = "Hello, glass",
persist = TRUE,
scene = "tahoe",
sliderInput("n", "Bars", 5, 30, 15),
plotOutput("plot")
)
server <- function(input, output, session) {
observe_glass(input, session)
output$plot <- renderPlot({
pal <- glass_plot_colors(input = input)
barplot(seq_len(input$n), col = pal$fill, border = NA, col.axis = pal$ink)
}, bg = "transparent")
}
shinyApp(ui, server)glass_page() includes Light / Dark / Auto, the intensity
slider, and accent wells. Set persist = TRUE (the default
here) to remember those choices.
The intensity slider mirrors iOS 27 Settings → Appearance → Liquid Glass (continuous Ultra Clear → Tinted). Browsers cannot read that OS slider, so the in-app control is the supported way to match the look.
Dense charts and tables can opt into a regular panel with
glass_theme(plot_surface = "opaque") while nav and controls
stay on glass. The default "clear" look still shows the
wallpaper through plot hosts. Use
glass_plot_surface_input() to toggle live (ggplot / plotly
/ gt / DT).
Named wallpaper scenes (tahoe, dusk,
mesh, aurora, harbor,
grove) and optional wallpaper= photos stay
behind a blur + wash so text meets the contrast floor. For chromote,
PDF, or screenshots, call glass_flatten() or open the app
with ?glass_flatten=1.
Power users can read glass_css_tokens() and override
--glass-* variables with
glass_theme(tokens = list(blur = "28px")) without forking
SCSS.
Apps may take a moment to wake up.
| Demo | Explore |
|---|---|
| Basics | Theme switching and core controls |
| Dashboard | Cards, plots, and tables |
| Inputs | Shiny input controls |
| Olympic medals | A complete dashboard |
| plotly + gt | Interactive charts and tables |
Built for Bootstrap 5 and bslib. See compatibility for supported widgets and older layouts.
More: examples · experimental Python package · testing · deployment
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.