Open-source alternatives to Shiny.collections

js4shiny is a companion package for the JavaScript for Shiny Users rstudio::conf(2020) workshop.

Programatically scroll in Shiny.

status](https://www.r-pkg.org/badges/version/reactRouter)](https://CRAN.R-project.org/package=reactRouter) total](https://cranlogs.r-pkg.org/badges/grand-total/reactRouter)](https://cran.r-project.org/package=reactRouter)

This package provides an R Shiny interface to selected features of the Phaser 3 game framework.

overshiny provides draggable and resizable rectangular elements that overlay plots in Shiny apps. This may be useful in applications where users need to define regions on the plot for further input or processing. Currently, the overlays are only designed to move along the x axis of the plot.

The recommendation is that you download the latest version of this package from CRAN, as I am constantly updating this repository. If you do download from here, know that things may break sometimes

You can install from GitHub:

status](https://github.com/r4fun/keys/workflows/R-CMD-check/badge.svg)](https://github.com/r4fun/keys/actions) status](https://www.r-pkg.org/badges/version/keys)](https://CRAN.R-project.org/package=keys)

The htmlwidgets package provides a framework for easily creating R bindings to JavaScript libraries. Widgets created using the framework can be:

vuer is an R package that makes it easy to use Vue components and build Vue apps.

reactR provides a set of convenience functions for using React in R with htmlwidget constructor templates and local JavaScript dependencies. The React ecosystem is rich with components that can enhance R web and Shiny apps. scaffoldReactWidget() helps build htmlwidgets to integrate these React…

Crosstalk is a package for R that enhances the htmlwidgets package. It extends htmlwidgets with a set of classes, functions, and conventions for implementing cross-widget interactions (currently, linked brushing and filtering).

The shinymeta R package provides tools for capturing logic in a Shiny app and exposing it as code that can be run outside of Shiny (e.g., from an R console). It also provides tools for bundling both the code and results to the end user.

Add more interactivity to interactive charts

%\VignetteEngine{knitr::rmarkdown} %\VignetteIndexEntry{Introduction to pagemap} -->

Flexible filters for shiny.

status](https://www.r-pkg.org/badges/version/vueR)](https://CRAN.R-project.org/package=vueR)

Status](https://travis-ci.org/Yang-Tang/shinyjqui.svg?branch=master)](https://travis-ci.org/Yang-Tang/shinyjqui) Status](https://ci.appveyor.com/api/projects/status/github/Yang-Tang/shinyjqui?branch=master&svg=true)](https://ci.appveyor.com/project/Yang-Tang/shinyjqui)

Using it is very simple: just prepare your translation files in one of the supported formats, read them into your app using user-friendly shiny.i18n interface and surround your expressions to translate by a translator tag. Thanks to that your app will remain neat and readable.

Create and customize an interactive canvas using the 'D3' JavaScript library and the 'htmlwidgets' package.