faucet-server 2.1.0

Welcome to Faucet, your go-to solution for deploying Plumber APIs and Shiny Applications with blazing speed and efficiency. Faucet is a high-performance server built with Rust, offering Round Robin and Round Robin + IP Hash load balancing for seamless scaling and distribution of your R applications. Whether you're a data scientist, developer, or DevOps enthusiast, Faucet streamlines the deployment process, making it easier than ever to manage replicas and balance loads effectively.
Documentation 
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library(shiny)
library(bslib)
devtools::load_all("../../r-package")

# Define UI for app that draws a histogram ----
ui <- page_sidebar(
  # App title ----
  title = "Hello Shiny!",
  tags$head(
    tags$script("console.log('Hello Shiny!');")
  ),
  # Sidebar panel for inputs ----
  sidebar = sidebar(
    # Input: Slider for the number of bins ----
    sliderInput(
      inputId = "bins",
      label = "Number of bins:",
      min = 1,
      max = 50,
      value = 30
    )
  ),
  # Output: Histogram ----
  plotOutput(outputId = "distPlot")
)

# Define server logic required to draw a histogram ----
server <- function(input, output) {
  # Histogram of the Old Faithful Geyser Data ----
  # with requested number of bins
  # This expression that generates a histogram is wrapped in a call
  # to renderPlot to indicate that:
  #
  # 1. It is "reactive" and therefore should be automatically
  #    re-executed when inputs (input$bins) change
  # 2. Its output type is a plot
  output$distPlot <- renderPlot({
    x <- faithful$waiting
    bins <- seq(min(x), max(x), length.out = input$bins + 1)

    debug("Rendering plot")

    hist(
      x,
      breaks = bins,
      col = "#007bc2",
      border = "white",
      xlab = "Waiting time to next eruption (in mins)",
      main = "Histogram of waiting times"
    )
  })
}

shinyApp(ui, server)