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The goal of the {shinylive}
R package is to help you
create Shinylive applications from your Shiny for R applications. Shinylive is
a new way to run Shiny entirely in the browser, without any need for a
hosted server, using WebAssembly via the webR project.
The Shinylive project consists of four interdependent components that work together in several different contexts.
Shinylive (posit-dev/shinylive) is web assets library that runs Shiny applications in the browser. You can try it out online at shinylive.io/r or shinylive.io/py. For a more in-depth exploration of the Shinylive web assets, please check out https://www.tidyverse.org/blog/2024/10/shinylive-0-8-0/.
The {shinylive}
R package (posit-dev/r-shinylive)
helps you export your Shiny applications from local files to a directory
that can be hosted on a static web server.
The R package also downloads the Shinylive web assets mentioned above and manages them in a local cache. These assets are included in the exported Shinylive applications and are used to run your Shiny app in the browser.
The shinylive Python
package (posit-dev/py-shinylive)
serves the same role as {shinylive}
but for Shiny for
Python applications.
The shinylive
Quarto extension (quarto-ext/shinylive)
lets you write Shiny applications in Quarto
web documents and slides and uses the R or Python package (or both)
to translate shinylive-r
or shinylive-py
code
blocks into Shinylive applications.
You can install the released version of shinylive from CRAN via:
install.packages("shinylive")
You can install the development version of shinylive from GitHub via:
# install.packages("pak")
::pak("posit-dev/r-shinylive") pak
To get started, we’ll create a basic shiny application in a new
directory myapp/
. If you have an existing Shiny
application, you can skip this step and replace "myapp"
with the path to your existing app.
# Copy "Hello World" from `{shiny}`
system.file("examples", "01_hello", package="shiny") |>
::dir_copy("myapp", overwrite = TRUE) fs
Once you have a Shiny application in myapp/
and would
like turn it into a Shinylive app in site/
:
::export("myapp", "site") shinylive
Then you can preview the application by running a web server and visiting it in a browser:
::runStaticServer("site/") httpuv
At this point, you can deploy the site/
directory to any
static web hosting service.
If you have multiple applications that you want to put on the same
site, you can export them to subdirectories of the site, so that they
can all share the same Shinylive assets. You can do this with the
--subdir
option:
::export("myapp1", "site", subdir = "app1")
shinylive::export("myapp2", "site", subdir = "app2") shinylive
posit-dev/r-shiny
has a workflow to automatically deploy
your Shiny app from the root directory in your GitHub repository to its
GitHub Pages. You can add this workflow to your repo with help from usethis.
::use_github_action(url="https://github.com/posit-dev/r-shinylive/blob/actions-v1/examples/deploy-app.yaml") usethis
For more information, see the examples folder.
The {shinylive}
web assets will statically inspect which
packages are being used in your app.
If your app includes a package that is not automatically discovered, you can add an impossible-to-reach code within your Shiny application that has a library call to that R package. For example:
if (FALSE) {
library(HIDDEN_CRAN_PKG)
}
If you’d rather handle it manually, call
webr::install("CRAN_PKG")
in your Shiny application before
calling library(CRAN_PKG)
or
require("CRAN_PKG")
.
If an R package has trouble loading, visit https://repo.r-wasm.org/ to see if it is able to be installed as a precompiled WebAssembly binary.
Note from
{webr}
:
It is not possible to install packages from source in webR. This is not likely to change in the near future, as such a process would require an entire C and Fortran compiler toolchain to run inside the browser. For the moment, providing pre-compiled WebAssembly binaries is the only supported way to install R packages in webR.
Each version of the Shinylive R package is associated with a particular version of the Shinylive web assets. (See the releases here.)
To see which version of this R package you have, and which version of
the web assets it is associated with, simply run
shinylive::assets_info()
in your R session. It will also
show which asset versions you have already installed locally:
::assets_info()
shinylive#> shinylive R package version: 0.1.0
#> shinylive web assets version: 0.2.1
#>
#> Local cached shinylive asset dir:
#> /Users/username/Library/Caches/shinylive
#>
#> Installed assets:
#> /Users/username/Library/Caches/shinylive/0.2.1
#> /Users/username/Library/Caches/shinylive/0.2.0
The web assets will be downloaded and cached the first time you run
shinylive::export()
. Or, you can run
shinylive::assets_download()
to fetch them manually.
::assets_download("0.1.5")
shinylive#> Downloading shinylive v0.1.5...
#> Unzipping to /Users/username/Library/Caches/shinylive/
You can remove old versions with
shinylive::assets_cleanup()
. This will remove all versions
except the one that the Python package wants to use:
::assets_cleanup()
shinylive#> Keeping version 0.2.1
#> Removing /Users/username/Library/Caches/shinylive/0.2.0
#> Removing /Users/username/Library/Caches/shinylive/0.1.5
To remove a specific version, use
shinylive::assets_remove()
:
::assets_remove("0.2.1")
shinylive#> Removing /Users/username/Library/Caches/shinylive/0.2.1
{webr}
:
It is not possible to install packages from source in webR. This is not likely to change in the near future, as such a process would require an entire C and Fortran compiler toolchain to run inside the browser. For the moment, providing pre-compiled WebAssembly binaries is the only supported way to install R packages in webR.
Works with latest GitHub version of posit-dev/shinylive
(>= v0.2.1
).
Before linking the shinylive assets to the asset cache folder, you must first build the shiny live assets:
## In your shinylive assets repo
# cd PATH/TO/posit-dev/shinylive
# Generate the shiny live assets
make submodules all
Then link the assets (using the {shinylive}
R package)
to the asset cache folder so that changes to the assets are
automatically in your cached shinylive assets:
# Link to your local shinylive repo
::assets_install_link("PATH/TO/posit-dev/shinylive") shinylive
In your quarto project, call the following lines in the terminal to install the updated shinylive quarto extension:
# Go to the quarto project directory
cd local/quarto
# Install the updated shinylive quarto extension
quarto add quarto-ext/shinylive
By default, the extension will used the installed
{shinylive}
R package. To use the local
{shinylive}
R package, run the following in your R session
to update the quarto extension locally:
if (!require("pkgload")) install.packages("pkgload")
<- file.path("local", "quarto", "_extensions", "quarto-ext", "shinylive", "shinylive.lua")
shinylive_lua |>
shinylive_lua ::read_file() |>
briosub(
pattern = "shinylive::quarto_ext()",
replacement = "pkgload::load_all('../../', quiet = TRUE); shinylive::quarto_ext()",
fixed = TRUE
|>
) ::write_file(shinylive_lua) brio
export()
Export a local app to a directory and run it:
library(httpuv) # >= 1.6.12
::load_all()
pkgload
# Delete prior
unlink("local/shiny-apps-out/", recursive = TRUE)
export("local/shiny-apps/simple-r", "local/shiny-apps-out")
# Host the local directory
::runStaticServer("local/shiny-apps-out/") httpuv
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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