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The {reactablefmtr} package streamlines and enhances the styling and formatting of tables built with the {reactable} R package. The {reactablefmtr} package provides many conditional formatters that are highly customizable and easy to use.

For more examples, check out the vignettes. To stay up to date with the latest upgrades to the development version, be sure to follow the package news.


The {reactablefmtr} package is available from CRAN and can be installed with:


Or install the development version of {reactablefmtr} with:


Why reactablefmtr?

The {reactable} package allows for the creation of interactive data tables in R. However, styling tables within {reactable} requires a lot of code, can be difficult for many R users (due to the need to understand HTML and CSS), and not scalable. For example, here is the current method of creating bar charts within {reactable}:


data <- MASS::Cars93[20:49, c("Make", "", "MPG.highway")]

bar_chart <- function(label, width = "100%", height = "16px", fill = "#15607A", background = "#EEEEEE") {
  bar <- div(style = list(background = fill, width = width, height = height))
  chart <- div(style = list(flexGrow = 1, marginLeft = "8px", background = background), bar)
  div(style = list(display = "flex", alignItems = "center"), label, chart)

  columns = list( = colDef(align = "left", cell = function(value) {
      width <- paste0(value / max(data$ * 100, "%")
      bar_chart(value, width = width)
    MPG.highway = colDef(align = "left", cell = function(value) {
      width <- paste0(value / max(data$MPG.highway) * 100, "%")
      bar_chart(value, width = width)

The {reactablefmtr} package presents a much simpler method of creating bar charts with the data_bars() function. In addition to needing far less code, there are also a multitude of customization options available to easily change the appearance of the bar charts.

  defaultColDef = colDef(
    cell = data_bars(data, text_position = "outside-base")


Data Bars

Use data_bars() to assign horizontal bars to each row. There are many ways to customize the look of data_bars(), including the alignment of the bars, the position of the text labels, and the option to add icons and images to the bars. See the tutorial for customization examples.


Use react_sparkline() to create sparklines or react_sparkbar() to create sparkline bar charts. The sparklines are highly customizable and interactive. As you hover over each data point, the value will appear. The sparklines are imported from the {dataui} package, so this package will need to be downloaded from GitHub in order to use this feature.

Color Scales

Use color_scales() to assign conditional colors to cells based on their relative values. The color of the text in the cells automatically adjusts based on the shade of the cell color, allowing the use of dark-colored palettes. See the tutorial for more examples.

Icon Sets

Use icon_sets() to conditionally assign icons to values from the Font Awesome library based on their relative values. Any number of icons and/or colors can be applied to values within each column. Customization options such as number formatting and positioning of icons are also available. See the tutorial for more options.

Icon Assign

Use icon_assign() to assign icons to values from the Font Awesome library. Multiple customization options are available, such as bucketing values and the option to show/hide values next to the icons. See the tutorial for more options.

Custom Themes

Within {reactablefmtr}, there are 24+ custom table themes. The themes include bootstrap themes, themes inspired by news/sports sites such as The New York Times, FiveThirtyEight, and ESPN, as well as other custom themes that can only be found within {reactablefmtr}. The themes can be applied easily to tables by simply referencing the theme name. Additional customization options, such as changing the font size, font color, etc. are also available.

An example of the fivethirtyeight() theme:

Add a Title, Subtitle, and Source

Titles and subtitles can be easily placed above any {reactablefmtr} or {reactable} table with add_title() and add_subtitle(). Also have the option to include a source below a table with add_source(). Additional customization options such as changing the alignment, font size, font family, font style, and font color are available within each formatter.

reactable(iris[10:29, ]) %>%
  add_title("This is a title") %>% 
  add_subtitle("This is a subtitle") %>% 
  add_source("This is a source")

Create Data Visualizations

Who says {reactablefmtr} can just be used to make tables? You can create data visualizations like the one shown below. Source code

Save Static or Interactive Tables

{reactablefmtr} or {reactable} tables can be saved directly to a file as a static PNG image or as an interactive HTML file with save_reactable().

Save as a PNG file:

save_reactable(table_name, "table.png")

Save as an HTML file:

save_reactable(table_name, "table.html")

If custom CSS styling is applied to the table within an R Markdown document:

save_reactable("table_name.Rmd", "table.png")

If you prefer to use a pipe:

table_name %>%

Acknowledgments & Contributions