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shinysnap

shinysnap saves and restores the state of a running Shiny app. It takes a snapshot (the input values plus any server-side values you register), writes it to a plain JSON file that users can keep, share, and diff, and restores it later into a different session, without a page reload and without enableBookmarking(). Inputs inside renderUI() that appear during the restore receive their values as soon as they exist, so no timing code is needed, and a report says what was applied, what never appeared, and what failed.

The word “snapshot” is used in the sense of a virtual machine or file system snapshot: a saved state you can write to a file and restore later. It has nothing to do with snapshot testing (expect_snapshot in testthat and shinytest2) or with screenshots.

Installation

You can install the development version of shinysnap from GitHub with:

# install.packages("pak")
pak::pak("nanxstats/shinysnap")

Example

A complete app with a save button and a restore upload:

library(shiny)
library(shinysnap)

ui <- fluidPage(
  sliderInput("n", "Sample size", 10, 500, 100),
  selectInput("model", "Model", c("simple", "complex")),
  uiOutput("model_inputs"),
  snap_download_button("save"),
  snap_file_input("restore")
)

server <- function(input, output, session) {
  snap_enable(app = "demo", version = "1.0.0")

  output$model_inputs <- renderUI({
    if (input$model == "simple") {
      numericInput("rate", "Rate", 0.05)
    } else {
      sliderInput("k", "k", 1, 10, 3)
    }
  })

  snap_download_handler("save")
  snap_file_restore("restore")
}

shinyApp(ui, server)

The saved file is readable:

{
  "format": 1,
  "app": {"name": "demo", "version": "1.0.0"},
  "created": "2026-09-16T18:22:03Z",
  "producer": {"shinysnap": "0.1.0", "shiny": "1.14.0", "r": "4.6.1"},
  "inputs": {
    "k": 3,
    "model": "complex",
    "n": 100
  },
  "values": {},
  "bindings": {
    "k": "shiny.sliderInput",
    "model": "shiny.selectInput",
    "n": "shiny.sliderInput"
  },
  "meta": {}
}

Uploading it puts the app back into that state: the select is applied, the dynamic UI it controls re-renders, and the slider inside it gets its value the moment it exists.

Before and after

Apps that do this by hand collect reactiveValuesToList(input) into an .rds file and, on upload, loop over session$sendInputMessage(), add a special case for matrix inputs, guard every server-side value with is.null() for files saved by older versions, and send the values of dynamic inputs in waves of shinyjs::delay(), because messages for inputs that are not on the page yet are dropped silently. With shinysnap, the server side of such an app becomes:

snap_enable(app = "myapp", version = "2.4.0", exclude = c("^btn_", "^nav$"))
snap_track(prefs)
snap_track(main_options)

snap_download_handler(c("btn_save_main", "btn_save_details"))

snap_file_restore(
  c("btn_restore_main", "btn_restore_details"),
  validate = function(snap) {
    if (is.null(snap$inputs$model)) stop("This file was not saved by this app.")
  },
  migrate = function(snap, from) {
    if (is.null(snap$values$prefs$scientific)) snap$values$prefs$scientific <- FALSE
    snap
  }
)

See vignette("shinysnap") for the full comparison and vignette("dynamic-ui") for how the restore works.

What is in the box

• snap_take(), snap_restore(): the snapshot and the restore transaction, with a report.
• snap_write(), snap_read(): JSON files, zip bundles that keep uploaded files, and (behind trust = TRUE) .rds.
• snap_track(), snap_on_save(), snap_on_restore(), snap_on_restored(): server-side values and hooks shaped like shiny’s bookmarking hooks.
• snap_restorer(): how an input’s value becomes the message its binding understands; built-ins for shiny, bslib, and shinyMatrix inputs.
• snap_download_button(), snap_download_handler(), snap_file_input(), snap_file_restore(): the UI boilerplate.
• snap_as_bookmark_url(), snap_as_test_inputs(), snap_diff(): interoperate with bookmarking, testServer(), and version control.

License

MIT

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.
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