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semantic.dashboard semantic.dashboard logo

Quick, beautiful and customizable dashboard template for Shiny based on shiny.semantic and Fomantic UI.

Are you fed up with ordinary shinydashboard look?

Give your app a new fresh look with Fomantic UI support.

library(shiny)
library(shinydashboard) # <-- Change this line to: library(semantic.dashboard)

ui <- dashboardPage(
  dashboardHeader(title = "Basic dashboard"),
  dashboardSidebar(sidebarMenu(
      menuItem(tabName = "home", text = "Home", icon = icon("home")),
      menuItem(tabName = "another", text = "Another Tab", icon = icon("heart"))
  )),
  dashboardBody(
    fluidRow(
      box(plotOutput("plot1", height = 250)),
      box(
        title = "Controls",
        sliderInput("slider", "Number of observations:", 1, 100, 50)
      )
    )
  )
)

server <- function(input, output) {
  set.seed(122)
  histdata <- rnorm(500)
  output$plot1 <- renderPlot({
    data <- histdata[seq_len(input$slider)]
    hist(data)
  })
}

shinyApp(ui, server)
Semantic dashboards comparison
Semantic dashboards comparison

semantic.dashboard offers basic functions for creating dashboard with Fomantic UI.

How to install?

Install shiny.semantic library first. Here you can find how.

You can install a stable version semantic.dashboard from CRAN repository:

install.packages("semantic.dashboard")

The development version can be installed from GitHub using remotes.

remotes::install_github("Appsilon/semantic.dashboard")

To install previous version you can run:

remotes::install_github("Appsilon/semantic.dashboard", ref = "0.1.0")

Example

You can find examples in the examples/ folder of the GitHub repository.

You can check documentation for tutorials.

How to contribute?

If you want to contribute to this project please submit a regular PR, once you’re done with new feature or bug fix. Please check development/README.md first! It contains useful information that will help you run your dev environment for semantic.dashboard.

Troubleshooting

We used the latest versions of dependencies for this library, so please update your R environment before installation.

However, if you encounter any problems, try the following:

  1. Up-to-date R language environment
  2. Installing specific dependent libraries versions
    • shiny.semantic

Future enhacements

  • Release of a stable 1.0.0 version
  • Closer integration with shinydashboard

Appsilon

Appsilon is a Posit (formerly RStudio) Full Service Certified Partner.
Learn more at appsilon.com.

Get in touch opensource@appsilon.com

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