Shiny (web framework)

Last updated
Shiny
Original author(s) Joe Cheng
Developer(s) RStudio Inc. (and current renamed company Posit PBC)
Initial releaseNovember 2012;12 years ago (2012-11)
Stable release
1.9.1 [1]
Repository
Written in R / Python
License MIT License
Website shiny.rstudio.com

Shiny is a web framework for developing web applications (apps), originally in R and since 2022 in python. It is free and open source. [2] It was announced by Joe Cheng, CTO of Posit, formerly RStudio, in 2012. [3] One of the uses of Shiny has been in fast prototyping. [4]

Contents

In 2022, a separate implementation Shiny for Python was announced. [5] It is not meant to be a replacement, whereby both implementations will be developed concurrently and may never have all the features of each other. There is also Shinylive that allows running Shiny on the client (i.e., program code does not run on the server, reducing server load to just serving the code itself). [6]

Features

Shiny creates a reactive context wherein the user specifies, through input variables, the circumstances under which computations are re-executed, or graphs (often visualizations) re-rendered; this occurs almost instantaneously. The input variables are evaluated via a user interface which allows the simple creation of widgets such as text boxes, radio buttons, and drop-down lists. [3] [7]

There are two main parts to a Shiny file, which may alternatively be stored in two separate files. One is designed to accommodate the user interface, the appearance of which is restricted by the default choices, though can be extended through various other R packages. The other is designed to accommodate the server computations and plot generating code, for which all the built-in facilities of R are available. [3]

Examples

A screenshot of the example app Shiny app example.png
A screenshot of the example app

This is an example of a basic application in R where: [8] 

library(shiny)ui<-fluidPage(textInput("name","What is your name?"),textOutput("greeting"))server<-function(input,output,session){output$greeting<-renderText({paste0("Hello ",input$name)})}shinyApp(ui,server)

And the equivalent application written in python: [9] 

fromshinyimportApp,reactive,render,uiapp_ui=ui.page_fluid(ui.input_text("name","What is your name?"),ui.output_text("greeting"),)defserver(input,output,session):@render.textdefgreeting():returnf"Hello {input.name()}"app=App(app_ui,server)

And shiny express for python: [10] 

fromshiny.expressimportinput,render,uiui.input_text("name","What is your name?")@render.textdefgreeting():returnf"Hello {input.name()}"

Deploying / Hosting Shiny

Deploying Shiny (R) can be achieved through several popular methods:

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References

  1. ↑ "Shiny: Web Application Framework for R". 1 August 2024.
  2. ↑ Doi, Jimmy; Potter, Gail; Wong, Jimmy; Alcaraz, Irvin; Chi, Peter (2016). "Web Application Teaching Tools for Statistics Using R and Shiny". Technology Innovations in Statistics Education. 9 (1). doi: 10.5070/T591027492 .
  3. 1 2 3 4 Kasprzak, Peter; Mitchell, Lachlan; Kravchuk, Olena; Timmins, Andy (2020). "Six Years of Shiny in Research - Collaborative Development of Web Tools in R" (PDF). The R Journal . 12 (2): 20–42. doi:10.32614/RJ-2021-004. S2CID   231709443 . Retrieved 12 March 2022.
  4. ↑ Li, Yu (2020). "Towards fast prototyping of cloud-based environmental decision support systems for environmental scientists using R Shiny and Docker". Environmental Modelling & Software . 132: 104797. doi:10.1016/j.envsoft.2020.104797. hdl: 20.500.11850/431312 . S2CID   221823072.
  5. ↑ Machlis, Sharon (2022-07-27). "RStudio unveils Shiny for Python". InfoWorld. Retrieved 2024-05-17.
  6. ↑ "Shiny for Python - Shinylive: Shiny + WebAssembly". shiny.rstudio.com. Retrieved 2023-01-30.
  7. ↑ Kaufman, Aaron R. (30 April 2020). "Implementing novel, flexible, and powerful survey designs in R Shiny". PLOS ONE. 15 (4): e0232424. Bibcode:2020PLoSO..1532424K. doi: 10.1371/journal.pone.0232424 . PMC   7192460 . PMID   32353057.
  8. ↑ Wickham, Hadley. "Your first Shiny app". Mastering Shiny . Retrieved 25 October 2024.
  9. ↑ "Shiny for Python - Express vs. Core" . Retrieved 28 October 2024.
  10. ↑ "Shiny for Python - Overview" . Retrieved 25 October 2024.
  11. ↑ ixpantia/faucet, ixpantia, 2024-11-01, retrieved 2024-11-01
  12. ↑ "How to Run R Shiny in Docker: A Step-by-Step Guide". www.ixpantia.com. 2024-10-08. Retrieved 2024-11-01.
  13. ↑ "Posit". Posit. Retrieved 2024-11-01.
  14. ↑ "shinyapps.io". www.shinyapps.io. Retrieved 2022-05-24.
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