Leaflet is a JavaScript library for creating dynamic maps that support panning and zooming along with various annotations.

https://rstudio.github.io/leaflet/

• Interactive panning/zooming

• Compose maps using arbitrary combinations of map tiles, markers, polygons, lines, popups, and GeoJSON.

• Create maps right from the R console or RStudio

• Embed maps in knitr/R Markdown documents and Shiny apps

• Easily render Spatial objects from the sp package, or data frames with latitude/longitude columns

• Use map bounds and mouse events to drive Shiny logic

d3heatmap creates interactive D3 heatmaps including support for row/column highlighting and zooming.

https://github.com/rstudio/d3heatmap/

• Highlight rows/columns by clicking axis labels

• Click and drag over colormap to zoom in (click on colormap to zoom out)

• Optional clustering and dendrograms, courtesy of base::heatmap

Dygraphs provides rich facilities for charting time-series data in R and includes support for many interactive features.

https://rstudio.github.io/dygraphs/

• Automatically plots xts time series objects (or any object convertible to xts).

• Highly configurable axis and series display (including optional second Y-axis).

• Rich interactive features including zoom/pan and series/point highlighting.

• Display upper/lower bars (e.g. prediction intervals) around series.

• Various graph overlays including shaded regions, event lines, and point annotations.

Plotly provides bindings to the plotly.js library and allows you to easily translate your ggplot2 graphics into an interactive web-based version.

https://plot.ly/ggplot2/

If you use ggplot2, ggplotly() converts your plots to an interactive, web-based version! It also provides sensible tooltips, which assists decoding of values encoded as visual properties in the plot.

plotly supports some chart types that ggplot2 doesn’t (such as 3D surface, point, and line plots). You can create these (or any other plotly) charts using plot_ly().

visNetwork is an R package for network visualization, using vis.js javascript library

https://github.com/datastorm-open/visNetwork

• compatible with shiny, R Markdown documents, and RStudio viewer
• custom shapes, styles, colors, sizes, …
• works smooth on any modern browser for up to a few thousand nodes and edges
• interactivity controls (zoom, physics, movement of nodes, tooltip, events, …)

Highcharter is a R wrapper for Highcharts javascript libray and its modules. Highcharts is very mature and flexible

https://github.com/jbkunst/highcharter

• The implementation of Highcharts API including Highstocks and Highmaps. You can chart almost every type of chart using the ap. It is a must know how highcharts works to take advantage of this package.
• The shortcuts functions to easily add data from R objects to a highchart one like xts, ohlc, treemaps, etc.
• The hchart() function. This function can chart various R objects on the fly. The resulting chart is a highchart object so you can keep modifying with the implmented API.
• Themes. Highcharts is super really flexible to create themes. Plugin implementations such a motion, font awesome and drag plugins.