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This package provides graphic devices for R based on the AGG library developed by the late Maxim Shemanarev. AGG provides both higher performance and higher quality than the standard raster devices provided by grDevices. For a comparison with the default devices, see the performance and quality vignettes.


The package can be installed from CRAN with install.packages('ragg') or, if the development version is desired, directly from github:

# install.packages('pak')


ragg provides drop-in replacements for the png, jpeg, and tiff graphic devices provided by default from the grDevices packages and can both produce png, jpeg and tiff files. Notable features, that sets itself apart from the build-in devices, includes:

  • Faster (up to 40% faster than anti-aliased cairo device)
  • Direct access to all system fonts
  • Advanced text rendering, including support for right-to-left text, emojis, and font fallback
  • High quality anti-aliasing
  • High quality rotated text
  • Support 16-bit output
  • System independent rendering (output from Mac, Windows, and Linux should be identical)

You can use it like any other device. The main functions are agg_png(), agg_jpeg() and agg_tiff(), all of which have arguments that closely match those of the png(), jpeg() and tiff() functions, so switching over should be easy.


file <- knitr::fig_path('.png')

on_linux <- tolower([['sysname']]) == 'linux'
fancy_font <- if (on_linux) 'URW Chancery L' else 'Papyrus'

agg_png(file, width = 1000, height = 500, res = 144)
ggplot(mtcars) + 
  geom_point(aes(mpg, disp, colour = hp)) + 
  labs(title = 'System fonts — Oh My! 😱') + 
  theme(text = element_text(family = fancy_font))


A scatterplot created with ggplot2 using a fancy non-standard font and mixing in emojis with text

Further, it provides an agg_capture() device that lets you access the device buffer directly from your R session.

cap <- agg_capture(width = 1000, height = 500, res = 144)
plot(1:10, 1:10)

scatter <- cap()

# Remove margins from raster plotting
par(mai = c(0, 0, 0, 0))

A very simple scatterplot captured as raster data and then drawn again

Use ragg with knitr

knitr supports png output from ragg by setting dev = "ragg_png" in the chunk settings or globally with knitr::opts_chunk$set(dev = "ragg_png").

Use ragg in RStudio

ragg can be used as the graphic back-end to the RStudio device (for RStudio >= 1.4) by choosing AGG as the backend in the graphics pane in general options (see screenshot)

A screenshot showing the RStudio Global Options window with focus on the General pane and the Graphics tab. Here it shows AGG is selected as Backend in order to tell RStudio to use ragg

Setting ragg as backend in RStudio

Code of Conduct

Please note that the ‘ragg’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.