Does your shiny application run some time consuming calculations? Would you like your app to do some other things while waiting for the results? Are you tired of forcing your functions to use %...>% operator? Here's the FutureManager!
Asynchronous processing is critical for performing a wide array of tasks, from high performance computing to web services. Communication between these disparate asynchronous processes is often required. Currently the statistical computing language R provides no built in features to handle…
shiny.worker allows you to delegate heavy computation tasks to a separate process, such that it does not freeze your Shiny app.
The main features of appsilon/shiny.worker are: Scaling and Concurrency.
Open-source alternatives to appsilon/shiny.worker include: boehringer-ingelheim/futuremanager — Does your shiny application run some time consuming calculations? Would you like your app to do some other things… fellstat/ipc — Asynchronous processing is critical for performing a wide array of tasks, from high performance computing to web… jcrodriguez1989/shinyparallel — ShinyParallel. rstudio/promises — A promise library for R. https://rstudio.github.io/promises/.
