Shiny Hub Script -
The torrent client that runs on any device
One engine, every platform. Fast, free, and open source.
Download One engine, every platform. Fast, free, and open source.
DownloadJSTorrent is a BitTorrent client that downloads torrent files with ease. It runs as a standalone desktop app on Windows, Mac, and Linux, as a native Android app, and as a Chrome extension paired with a companion app on ChromeOS. It also works on ChromeOS Flex, Android phones, and in any Chromium-based browser. See all supported platforms →
Originally built for ChromeOS over 10 years ago, JSTorrent has been rebuilt from the ground up as a multi-platform, open source project. All builds are produced by GitHub Actions CI and are code-signed — learn more. shiny hub script
"It works great, it's easy to use."
"Essential app"
"Greatest app ever, it easily doubles the functionality of my chromebook. I don't remember it cost any money when i got it, but i would definitely pay for it. Just as good/better than a full desktop torrent client!"
"I know not everyone has a chromebook and it is nice to be able to find a program that simply works, THANK YOU."
To run the script, you must use a script executor (such as Delta, Fluxus, or Hydrogen for mobile/PC).
Create a new file with a .shiny extension (e.g., myapp.shiny ) and add the following code:
Automates the collection of specific items or materials needed for crafting and upgrades. Supported Games
# Define UI ui <- fluidPage( titlePanel("My Shiny App"), sidebarLayout( sidebarPanel( sliderInput("obs", "Number of observations:", min = 1, max = 1000, value = 100) ), mainPanel( plotOutput("distPlot") ) ) )
To run the script, you must use a script executor (such as Delta, Fluxus, or Hydrogen for mobile/PC).
Create a new file with a .shiny extension (e.g., myapp.shiny ) and add the following code:
Automates the collection of specific items or materials needed for crafting and upgrades. Supported Games
# Define UI ui <- fluidPage( titlePanel("My Shiny App"), sidebarLayout( sidebarPanel( sliderInput("obs", "Number of observations:", min = 1, max = 1000, value = 100) ), mainPanel( plotOutput("distPlot") ) ) )