Awesome ggplot2

General

• Official website
  • Reference
• A List of ggplot2 extensions

Persons

R packages

Plot layers

• {biscale}: Bivariate Mapping with ggplot2
• {calendR}: Fully customizable ready to print monthly and yearly calendars made with ggplot2
• {ChauBoxplot}: Chauvenet-Type Boxplot
• {complex-upset}: A library for creating complex UpSet plots with ggplot2 geoms
• {corrmorant}: R package for flexible correlation matrices based on ggplot2
• {dbplot}: Simplifies plotting of database and sparklyr data
• {directlabels}: Direct labels for multicolor plots in lattice or ggplot2
• {causalplot}: Create Publication-Ready Causal Diagrams
• {donutsk}: Construct Advanced Donut Charts
• {easyalluvial}: Create alluvial plots with a single line of code
• {econocharts}: Economics charts in R using ggplot2
• {effectclass}: Display uncertainty and effect classification with ggplot2 or plotly
• {ezplot}: Functions for Common Chart Types
• {flowmapper}: Draw flows (migration, goods, money, information) on ggplots
• {ganttrify}: Create beautiful Gantt charts with ggplot2
• {geomtextpath}: Create curved text paths in ggplot2
• {gg1d}: Exploratory Data Analysis using Tiled One-Dimensional Graphics
• {ggalignment}: R package for creating D&D alignment charts
• {ggalluvial}: ggplot2 extension for alluvial plots
• {ggalt}: Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'
• {ggambit}: Visualise FEN chess positions with ggplot2
• {gganatogram}: Create anatograms using ggplot2
• {ggarchery}: Flexible segment geoms with arrows for ggplot2
• {ggarrow}: ggplot2 extension: more options for drawing arrows
• {ggasym}: Plots three different color schemes on the top-left and bottom-right triangles and the diagonal of a symmetric matrix
• {ggauto}: Automatically Create and Style 'ggplot2' Charts
• {ggbeeswarm}: Column scatter / beeswarm-style plots in ggplot2
• {ggblanket}: Simplify ggplot2 visualisation
• {ggblend}: Support for blend modes in ggplot2
• {ggblur}: Blurry Point Geom for ggplot2
• {ggborderline}: Provides a set of geoms to make line plots a little bit nicer
• {ggbrace}: Curly Braces for 'ggplot2'
• {ggbraid}: Braid two lines and a ribbon in ggplot2
• {ggbrain}: R package for creating plots of brains using ggplot
• {ggbrick}: A brick like geom for ggplot2
• {ggbump}: A geom for ggplot to create bump plots
• {ggcalendar}: x and y position as days in month
• {ggcats}: The geom you always wished for adding cats to ggplot2
• {ggchicklet}: Create Chicklet (Rounded Segmented Column) Charts
• {ggchord}: Multi-Sequence 'BLAST' Alignment Chord Diagram Visualization Tool
• {ggchord2}: Chord diagrams for ‘ggplot2’
• {ggcleveland}: Implementation of plots from Cleveland's Visualizing Data book in ggplot2
• {ggconsort}: An R package for creating CONSORT diagrams with ggplot
• {ggcorrplot}: Visualization of a correlation matrix using ggplot2
• {ggcorr}: Correlation matrixes with ggplot2
• {ggcorrheatmap}: Make Flexible 'ggplot2' Correlation Heatmaps
• {ggcorset}: Introducing corset plots
• {ggpcp}: Parallel Coordinate Plots in the 'ggplot2' Framework
• {ggdemetra}: ggplot2 extension for seasonal and trading day adjustment with RJDemetra
• {ggdensity}: An R package for interpretable visualizations of density estimates
• {ggdiagram}: Object-Oriented Diagram Plots with 'ggplot2'
• {ggdiceplot}: Dice Plot Visualization for 'ggplot2'
• {ggDNAvis}: 'ggplot2'-Based Tools for Visualising DNA Sequences and Modifications
• {ggeconodist}: Create Diminutive Distribution Charts
• {ggEDA}: Turnkey Visualisations for Exploratory Data Analysis
• {ggdag}: An R Package for visualizing and analyzing causal directed acyclic graphs
• {ggdaynight}: Add Day/Night Patterns to ggplot2 Plots
• {ggdirectlabel}: Make it easier to directly label ggplot2 charts
• {ggdist}: Visualizations of distributions and uncertainty
• {ggDoubleHeat}: A heatmap-like visualization tool
• {ggerror}: Extended Error Geoms for 'ggplot2'
• {ggExtra}: Add marginal histograms to ggplot2, and more ggplot2 enhancements
• {ggfacto}: Graphs for correspondence analysis
• {ggflowchart}: R package for producing flowcharts using ggplot2
• {ggfootball}: Plotting Expected Goals (xG) Stats with 'Understat' Data
• {ggfreehand}: Add freehand circles to ggplot2 graphs
• {ggfun}: Miscellaneous Functions for 'ggplot2'
• {gggda}: A 'ggplot2' Extension for Geometric Data Analysis
• {gggenes}: Draw gene arrow maps in ggplot2
• {gggenomes}: A grammar of graphics for comparative genomics
• {gggibbous}: Moon charts, a pie chart alternative, for ggplot2
• {gghalves}: Easy half-half geoms in ggplot2
• {gghdr}: Plots of highest density regions (HDR) for ggplot2
• {gghexsize}: Make Hexagonal Heatmaps with Varying Hexagon Sizes
• {gghilbertstrings}: Create Hilbert curves in ggplot2
• {gghinton}: Hinton Diagrams for 'ggplot2'
• {ggHoriPlot}: build horizon plots in ggplot2
• {gghourglass}: Plot Records per Time of Day
• {ggideogram}: ggideogram is a ggplot2 extension package for drawing chromosome diagrams
• {ggimg}: Graphics Layers for Plotting Image Data with ggplot2
• {ggkeyboard}: Make a keyboard using ggplot2
• {ggkodom}: Visualize Individual Longitudinal Trajectories
• {gglinedensity}: Make DenseLines Heatmaps with 'ggplot2'
• {gglycan}: Plot Glycans using 'ggplot2'
• {ggmacc}: R package repository for building marginal abatement cost curves with ggplot2
• {ggmeta}: Publication-Quality Forest and Funnel Plots with 'ggplot2'
• {ggmosaic}: Mosaicplots in the ggplot2 framework
• {ggmosaic2}: Mosaic Plots in the 'ggplot2' Framework, Extended
• {ggmsa}: a visual exploration tool for multiple sequence alignment and associated data
• {ggmulti}: Package for adding some multivariate visualizations to ggplot2
• {ggmultiglyph}: Multivariate Data Visualization using Glyphs
• {ggnormalviolin}: Makes normal violin plots with specified means and standard deviations
• {ggonion}: R package for drawing onion diagrams via ggplot2
• {ggordiplots}: Make ggplot Versions of Vegan's Ordiplots
• {ggpackets}: Cleaner composition of ggplot layers
• {ggparliament}: Simple parliament plots using ggplot2
• {ggpedigree}: Visualizing Pedigrees with 'ggplot2' and 'plotly'
• {ggpercentogram}: Create equal-area histograms with 'ggplot2'
• {ggpie}: Create pie charts using ggplot2
• {ggPlantmap}: Generate ggplot maps from plant images
• {ggplateplot}: make plots resembling cell culture microwell plates
• {ggplayfair}: Geoms for Playfair-Style Charts
• {ggpointdensity}: A Cross Between a Scatter Plot and a 2D Density Plot
• {ggpointgrid}: Rearrange scatter plot points on a regular grid
• {ggpointless}: A point layer to emphasize some observations
• {ggpolar}: Dots and Their Connections in Polar Coordinate System
• {ggrank}: Visualise Changes in Rankings with 'ggplot2'
• {ggrecipes}: Recipes for Data Visualization
• {ggsankeyfier}: Create Sankey and Alluvial Diagrams Using ggplot2
• {ggsector}: Use R language to draw sector
• {ggsegmentedtotalbar}: Create a Segmented Total Bar Plot with Custom Annotations and Labels
• {ggshadow}: Shadow Geoms for ggplot2
• {ggshakeR}: An analysis and visualization R package that works with publicly available soccer data
• {ggcircular}: A 'ggplot2' Extension for Circular and Directional Data
• {ggsoccer}: Plot soccer event data in R/ggplot2
• {ggspectra}: Plotting spectra with ggplot2
• {ggstackplot}: Create Overlapping Stacked Plots
• {ggstamp}: stamp_* as an API for annotation layers
• {ggstance}: Horizontal ggplot2 components
• {ggsurveillance}: Tools and 'ggplot2' Extensions for Infectious Disease Surveillance and Outbreak Investigation
• {ggpage}: Creates Page Layout Visualizations in R
• {ggparallel}: R package for creating hammock plots and parallel sets plots using the ggplot2 framework
• {ggperiodic}: Easy plotting of periodic data with ggplot2
• {ggplate}: Create Layout Plots of Biological Culture Plates and Microplates
• {ggpol}: Parliament diagrams and more for ggplot2
• {ggpolypath}: Polygons with holes for ggplot2
• {ggpp}: Grammar of graphics extensions to 'ggplot2'
• {ggpubr}: 'ggplot2' Based Publication Ready Plots
• {ggquiver}: R package for quiver plots in 'ggplot2'
• {ggqr}: ggplot2 geom for QR codes
• {ggradar}: radar charts with ggplot2
• {ggrain}: Make beautiful Raincloud plots in R
• {ggraph}: A grammar of graphics for relational data
• {ggrastr}: Raster geoms for ggplot2
• {ggrepel}: Repel overlapping text labels away from each other
• {ggreverse}: Reverse a ggplot object back into code
• {ggridges}: Ridgeline plots in ggplot2
• {ggrounded}: Rounded Bar Plots
• {ggsankey}: The goal of ggsankey is to make beautiful sankey, alluvial and sankey bump plots in ggplot2
• {ggsc}: Visualizing single cell data
• {ggScatRidges}: Scatter Plot Combined with Ridgelines in 'ggplot2'
• {ggscidca}: Plotting Decision Curve Analysis with Coloured Bars
• {ggseqplot}: Render Sequence Plots using 'ggplot2'
• {ggside}: ggplot2 extension allowing for plotting various geometries as side panels
• {ggsignif}: Easily add significance brackets to your ggplots
• {ggskewboxplots}: Skew Boxplot Geoms for 'ggplot2'
• {ggsolar}: Generate "solar system" plots with {ggplot2}
• {ggspark}: ggplot2 Functions to Create Tufte Style Sparklines
• {ggstraw}: geom_straw for ggplot2
• {ggstream}: A package to make streamplots
• {ggsvg}: Use SVG images as ggplot points
• {ggtaichi}: Taichi-Diagram Visualization for Two Data Sources
• {ggtaxplot}: Create Plots to Visualize Taxonomy
• {ggtda}: ggplot2 extension to visualize persistent homology
• {ggtern}: An extension to ggplot2, for the creation of ternary diagrams
• {ggtextcircle}: R package to plot text in a (partial) circle
• {ggtikz}: Add TikZ annotations with absolute data or relative plot coordinates to ggplots
• {ggtranscript}: Visualizing transcript structure and annotation using ggplot2
• {ggtree}: Visualization and annotation of phylogenetic trees
• {ggtreebar}: Make Treemap Bar Charts with 'ggplot2'
• {ggtrendline}: An R Package for Adding Trendline and Confidence Interval to "ggplot"
• {ggtricks}: Create Sector and Other Charts Easily Using Grammar of Graphics
• {ggtwotone}: Dual-Tone and Contrast-Aware ggplot2 Geoms
• {ggunchull}: A ggplot extension for drawing smooth non-convex circles around a set of points
• {ggvenn}: Venn Diagram by ggplot2, with really easy-to-use API
• {ggVennDiagram}: A 'ggplot2' implement of Venn Diagram
• {ggvfields}: Vector Field Visualizations with 'ggplot2'
• {ggvolcano}: Publication-Ready Volcano Plots
• {ggvoronoi}: Easy Voronoi diagram heatmaps with ggplot2
• {ggvwline}: Layer functions for drawing variable-width curves
• {ggwaffle}: Creating waffle charts in a ggplot friendly way
• {ggweekly}: Easy, printable, custom calendars and week planners
• {ggwordcloud}: A word cloud geom for ggplot2
• {ggxmean}: Put a vertical line at the mean of x w/ geom_xmean() and do other stuff
• {ivolcano}: Interactive Volcano Plot
• {jjPlot}: funny geom/stat functions for visualization
• {likert}: Analysis and Visualization Likert Items
• {linkET}: Toolbox for heatmap and mantel test plot.
• {marimekko}: Marimekko Plots for 'ggplot2'
• {parttree}: Simple package for plotting decision tree partitions in R
• {patternplot}: Versatile Pie Charts, Ring Charts, Bar Charts and Box Plots using Patterns, Colors and Images
• {piecepackr}: Board Game Graphics
• {plotcli}: Convert ggplot2 objects to colored terminal plots
• {plotthis}: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
• {qbinplots}: Quantile Binned Plots
• {scatterbar}: Scattered Stacked Bar Chart Plots
• {scattermore}: very fast scatterplots for R
• {see}: Visualisation toolbox for beautiful and publication-ready figures
• {shadowtext}: shadow text for grid and ggplot2
• {smplot2}: Create and annotate composite plots in R and ggplot2
• {superheat}: An R package for generating beautiful and customizable heatmaps
• {swimplot}: Tools for Creating Swimmers Plots using 'ggplot2'
• {tidyplots}: Tidy Plots for Scientific Papers
• {treemapify}: Draw treemaps in ggplot2
• {VennItem}: Generate Venn Diagrams with Items Listed in the Sections
• {visdat}: Preliminary Exploratory Visualisation of Data
• {waffle}: Make waffle (square pie) charts in R
• {waterfalls}: R package to create waterfall charts
• {WVPlots}: Pre-packaged plots in R

Themes and aesthetics

• {add2ggplot}: Add more themes for your ggplot object
• {afcharts}: Produce Charts Following UK Government Analysis Function Guidance
• {albersdown}: Minimalist Theme and Vignette Kit for 'pkgdown' and R Markdown
• {amerika}: An American politics-inspired color palette generator
• {bbplot}: R package that helps create and export ggplot2 charts in the style used by the BBC News data team
• {biopalette}: Image-Inspired Color Palettes for Biomedical Visualization
• {birdcolors}: Create Palettes from the Colors of the World's Birds
• {blueycolors}: Provides bluey-inspired color palettes and ggplot2 scales
• {ButterflyColors}: Color palette for data visualization based on butterfly species
• {colorBlindnessSafe}: Color Set for Color Blindness
• {colorr}: Color Palettes for Soccer, MLB, NBA, WNBA, NHL, and NFL Teams
• {cols4all}: Colors for all (R package)
• {cyberpunk}: A function to create cyberpunk-style graphs with R based on ggplot2
• {darknerdthemes}: Dark ggplots themes for nerds
• {DOYPAColors}: Don't Overthink Your Palette of Colors
• {duke}: Creating a Color-Blind Friendly Duke Color Package
• {dutchmasters}: R package with colour palettes derived from famous paintings by 17th century Dutch masers
• {ekioplot}: EKIO Visual Identity for 'ggplot2'
• {EraBrewer}: Color palette package in R/python inspired by the covers of Taylor Swift's Eras
• {flexoki}: Inky Color Schemes
• {tricolore}: A flexible color scale for ternary compositions
• {gameofthrones}: Game of Thrones inspired palette for R
• {ggbelarus}: Red and white cross-stitch for ggplot2
• {ggCheysson}: Graphic styles of Emile Cheysson for ggplot2
• {ggdc}: Datacamp Themes for ggplot2
• {ggcharts}: Get You to Your Desired Plot Faster
• {ggcute}: Cute things for ggplot2
• {ggdark}: Dark mode for ggplot2 themes
• {ggDracula}: Dracula for ggplot2
• {ggchromatic}: Colour and fill scales for 'ggplot2' using colour spaces
• {ggCyberPunk}: Working on creating a similar cyberpunk geom for ggplot
• {ggeasy}: Easy Access to 'ggplot2' Commands
• {ggedit}: Interactively edit ggplot layer aesthetics and theme definitions
• {ggfittext}: ggplot2 geoms to fit text into boxes
• {ggfx}: ggfx is a (currently experimantal) package that allows the use of various filters and shaders on ggplot2 layers
• {ggGenshin}: a collection of Genshin-styled color schemes
• {gghdx}: HDX Theme, Scales, and Other Conveniences for 'ggplot2'
• {gglaplot}: Makes graphics in the GLA style using ggplot2
• {gglgbtq}: Provides multiple palettes based on pride flags with tailored themes
• {ggnewscale}: Multiple Fill and Color Scales in 'ggplot2'
• {ggnuplot}: Make your ggplots look like gnuplots
• {ggokabeito}: Colorblind-friendly, qualitative Okabe-Ito Scales for ggplot2 and ggraph
• {ggpalettes}: Curated Colour Palettes and Scales for 'ggplot2'
• {ggplotplus}: Universal Design-Oriented Enhancements for 'ggplot2'
• {ggpomological}: Pomological plot theme for ggplot2
• {ggprism}: ggplot2 extension inspired by GraphPad Prism
• {ggrefine}: Pretty 'ggplot2' Themes
• {ggrough}: Convert ggplot2 chart to roughjs
• {ggrough2}: Hand-Drawn Rendering for ggplot2 via SVG and Rough.js
• {ggRtsy}: Add Some Van Gogh Colors and Overlay Colors on Your 'ggplot()'
• {ggsci}: Scientific journal and sci-fi themed color palettes for ggplot2
• {ggseg}: Plotting tool for brain atlases, in ggplot
• {ggstar}: Star layer for ggplot2
• {ggtea}: Palettes and Themes for 'ggplot2'
• {ggtech}: ggplot2 tech themes, scales, and geoms
• {ggtext}: Improved text rendering support for ggplot2
• {ggtextures}: Drawing textured rectangles and bars with ggplot
• {ggthemes}: Additional themes, scales, and geoms for ggplot2
• {ggthemeUL}: A 'ggplot' Theme for University of Ljubljana
• {ggthemr}: Themes for ggplot2
• {ggtintshade}: Tinting and Shading Aesthetics for 'ggplot2'
• {ggx}: Translate natural language commands into ggplot commands
• {harrypotter}: Harry Potter inspired palette for R
• {hrbrthemes}: Opinionated, typographic-centric ggplot2 themes and theme components
• {INBOtheme}: Corporate identity theme for the Research Institute for Nature and Forest (INBO)
• {jcolors}: Colors Palettes for R and 'ggplot2', Additional Themes for 'ggplot2'
• {LaCroixColoR}: LaCroix Color Palettes for R
• (lemon): Freshing up your ggplots
• {mdthemes}: Markdown Themes for 'ggplot2'
• {MetBrewer}: Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
• {MexBrewer}: Color Palettes Inspired by Works Mexican Muralists
• {mexicolors}: A Mexican politics-inspired color palette generator
• {MoMAColors}: Color Schemes based around artwork and the Museum of Modern Art
• {monochromeR}: A package for creating monochrome colour palettes and easily converting rgba values to hex codes
• {mycolorsTB}: Color Palettes for Mycobacterium Tuberculosis Data Visualization
• {NatParksPalettes}: Color palette package inspired by National Parks
• {nord}: Northern-themed Color palettes
• {okcolors}: A Set of Color Palettes Inspired by OK Go Music Videos for 'ggplot2' in R
• {onsvplot}: National Road Safety Observatory (ONSV) Style for 'ggplot2' Graphics
• {paletteer}: Collection of most color palettes in a single R package
• {pequod}: Colour Palette for Reading and Code, Inspired by Moby-Dick
• {pilot}: A minimal ggplot2 theme with an accessible discrete color palette
• {peRReo}: R color palettes inspired by reggaeton and latin albums
• {poisonfrogs}: Color Palettes Inspired by Neotropical Poison Frogs
• {PrettyCols}: R package containing pretty colour palettes.
• {rbranding}: Manage Branding and Accessibility of R Projects
• {rcartocolor}: Implementation of the CARTOcolor palettes in R
• {Rdune}: Creates color palettes inspired by "Dune"
• {rockthemes}: R colour palettes based on classic rock albums and some other ones
• {savonliquide}: Check for Color Contrast Accessibility in R
• {scico}: Palettes for R based on the Scientific Colour-Maps
• {sgplot}: Graphic Styles and Colours for Scottish Government Plots
• {soilpalettes}: R color palettes inspired by soil profiles
• {stevethemes}: Steve’s ggplot2 Themes and Related Theme Elements
• {tgamtheme}: Globe and Mail Graphics Theme for 'ggplot2'
• {thematic}: Unified and automatic theming of ggplot2, lattice, and base R graphics
• {ThemePark}: Fun ggplot themes for popular culture
• {tinythemes}: Lightweight Repackaging of 'Themes' for 'ggplot2'
• {trekcolors}: Strak Trek color palettes
• {tvthemes}: ggplot2 themes and palettes based on your favorite TV shows
• {unhcrthemes}: UNHCR branded theme for ggplot2 and data visualization colour palettes
• {unicol}: The colors of your university
• {urbnthemes}: Urban Institute's ggplot2 theme and tools
• {vangogh}: Vincent Van Gogh Colour Palette Generator
• {viridis}: Colorblind-Friendly Color Maps for R
• {wesanderson}: A Wes Anderson color palette for R
• {wsjplot}: Style Time Series Plots Like the Wall Street Journal

Presentation, composition and scales

• {aplot}: Decorate a plot with associated information
• {autograph}: Automatic Plotting of Many Graphs
• {camcorder}: Record plots generated during an R session and replay as a gif!
• {cowplot}: Streamlined Plot Theme and Plot Annotations for ggplot2
• {egg}: (fragile) extensions for ggplot2
• {facetious}: Home to some alternate facetting for ggplot2
• {facetscales}: facet_grid with different scales per facet
• {figpatch}: Easily Arrange Images with Patchwork Alongside ggplot2 Figures
• {geofacet}: R package for geographical faceting with ggplot2
• {ggalign}: A 'ggplot2' Extension for Consistent Axis Alignment
• {gganimate}: A Grammar of Animated Graphics
• {gganime}: Animate 'ggplot2' Plots with 'Anime.js'
• {ggannotate}: Interactively annotate ggplots
• {ggbillboard}: A package to fill vacant ggplot2 facets with images
• {ggbranding}: Add personal branding to ggplot2 charts
• {ggbreak}: Set Axis Break for 'ggplot2'
• {ggcolormeter}: A ggplot2 color/fill legend guide extension in the style of a dashboard meter
• {GGenemy}: Audit 'ggplot2' Visualizations for Accessibility and Best Practices
• {ggextreme}: Bar Chart Races and Interactive Plots for Clinical Research
• {ggfigdone}: Manage ggplot figures using ggfigdone
• {ggfocus}: A 'ggplot2' extension that provides tools for automatically creating scales to focus on subgroups
• {ggforce}: Accelerating ggplot2
• {ggformula}: Provides a formula interface to 'ggplot2' graphics
• {gggrid}: Accessing 'grid' from 'ggplot2'
• {ggguides}: Simplified Legend and Guide Alignment for 'ggplot2'
• {ggh4x}: ggplot extension: options for tailored facets, multiple colourscales and miscellaneous
• {gghighlight}: Highlight points and lines in ggplot2
• {gglogger}: Track 'ggplot2' Calls
• {ggmagnify}: Create a magnified inset of part of a ggplot object
• {ggmemo}: Add Arrows, Labels, and Change Annotations to 'ggplot2' Charts
• {ggNestedBarChart}: An easier way to create nested, grouped, heirarchical bar charts with ggplot2
• {ggplotify}: Convert plot to grob and ggplot object
• {ggProfessional}: Manage ggplot themes, colors, logos and exporting
• {ggragged}: Ragged Grids for ggplot2
• {ggreveal}: Reveal a 'ggplot' Incrementally
• {ggscribe}: Publication-Quality 'ggplot2' Annotation
• {ggtibble}: Create tibbles and lists of ggplot figures that can be modified as easily as regular ggplot figures
• {ggtrace}: Programmatically inspect, debug, and manipulate ggproto methods
• {ggtrack}: Add tracking banner to plots
• {ggtranslate}: A 'ggplot2' Extension for Translating Plot Text
• {ggupset}: Combination matrix axis for 'ggplot2' to create 'UpSet' plots
• {ggview}: Ggplot picture previewer
• {ggwidth}: Standardise 'ggplot2' Geom Width
• {gtable}: The layout packages that powers ggplot2
• {jjAnno}: An annotation package for ggplot plot
• {legendry}: Extended Legends and Axes for 'ggplot2'
• {pagenum}: Add page number to R graphics
• {patchwork}: The Composer of ggplots
• {relayer}: Rethinking layers in ggplot2
• {scales}: Tools for ggplot2 scales
• {showtext}: Using Fonts More Easily in R Graphs
• {tagger}: Add tags to ggplot2 facets
• {tickr}: Consistent Axis Tick Marks
• {vayr}: Extensions for 'ggplot2' to Visualize as You Randomize
• {vbracket}: Custom Legends with Statistical Comparison Brackets

Interactive

• {autoplotly}: Automatic Generation of Interactive Visualizations for Statistical Results
• {blockr.ggplot}: Interactive 'ggplot2' Visualization Blocks
• {esquisse}: Explore and Visualize Your Data Interactively
• {ggoncoplot}: Easily Create Interactive Oncoplots
• {ggiraph}: Make 'ggplot' Graphics Interactive
• {ggWebGL}: Browser-Native 'WebGL' Rendering for R Graphics
• {highdir}: Backend-Agnostic Figure Builder for 'highcharter' and 'ggplot2'
• {plotly}: An interactive graphing library for R

Network

• {geomnet}: Network visualization in the ggplot2 framework
• {gglyph}: Network-Style Visualization of Directed Pairwise Relationships
• {ggnet}: Network visualization with ggplot2
• {ggNetView}: Network analysis and visualization
• {ggnetwork}: Geoms to plot networks with ggplot2
• {ggtangle}: Draw Network with Data
• {graphlayouts}: New layout algorithms for network visualizations in R
• {qgraph}: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation

Spatial

• {bertin}: Transform choropleth maps into valued points
• {DonutMap}: Donut Maps with 'sf', 'ggplot2', and 'leaflet'
• {eumaps}: An R package that provides easy-to-use tools for making professional-quality choropleth maps of the European Union (EU)
• {ggautomap}: Create ggplot maps from a column of place names
• {ggcounty}: Generate ggplot2 geom_map county maps
• {ggdibbler}: Add Uncertainty to Data Visualisations
• {ggfields}: Add vector fields layers to ggplots
• {ggincerta}: Extend 'ggplot2' with Layers and Scales for Spatial Uncertainty Visualization
• {ggmap}: A package for plotting maps in R with ggplot2
• {ggmapcn}: Customizable China Map Visualizations
• {ggmapinset}: Add zoomed inset panels to your ggplot maps
• {ggOceanMaps}: Plot oceanographic research data on maps using ggplot2
• {ggredist}: Scales, Geometries, and Extensions of 'ggplot2' for Election Mapping
• {ggsflabel}: Labels for 'sf' with 'ggplot2'
• {ggsky}: Galactic and Equatorial Coordinate Implementation for 'ggplot2'
• {ggsn}: R package to add north symbols and scale bars to maps created with ggplot or ggmap
• {ggspatial}: Enhancing spatial visualization in ggplot2
• {ggswissmaps}: Offers Various Swiss Maps as Data Frames and 'ggplot2' Objects
• {insetplot}: Inset Plots for Spatial Data Visualization
• {layer}: Create stacked tilted maps
• {mapSpain}: Administrative Boundaries of Spain
• {metR}: Tools for Easier Analysis of Meteorological Fields
• {mxmaps}: An R package for making maps of Mexico
• {ozmaps}: Australian maps
• {plotDK}: Plot Summary Statistics as Choropleth Maps of Danish Administrative Areas
• {RCaucTile}: Tile Grid Maps for East Caucasian Languages
• {starBliss}: Create beautiful, print quality maps of the night sky in R
• {stars}: Spatiotemporal Arrays, Raster and Vector Data Cubes
• {sugarbag}: An R package to create tessellated hexagon maps of Australia
• {sugarglider}: Create Glyph-Maps of Spatiotemporal Data
• {tidyterra}: tidyverse and ggplot2 methods for terra spatial objects
• {urbnmapr}: US state and county maps with Alaska and Hawaii

3D plots

• {ggcube}: 3D plotting extension for ggplot2
• {gghic}: Visualizations of 3D genome organization data
• {ggrgl}: 3D Graphics Using the Grammar of Graphics
• {ggthreed}: 3d geoms and stats for ggplot
• {oblicubes}: 3D Rendering Using Obliquely Projected Cubes and Cuboids
• {rayshader}: R Package for 2D and 3D mapping and data visualization

Time

• {deeptime}: Plotting Tools for Anyone Working in Deep Time
• {ggsurvfit}: Easy and Flexible Time-To-Event Figures
• {ggtime}: Grammar of Graphics and Plot Helpers for Time Series Visualization
• {ggTimeSeries}: Time series visualisation
• {survminer}: Survival Analysis and Visualization
• {vistime}: Pretty timelines in R

Icons, patterns and images

• {cropcircles}: Crop an image into a circle with a transparent background
• {emoGG}: Emoji in ggplot2
• {ggdogs}: The geom you always wished for adding dogs to ggplot2
• {ggflags}: A flag geom for ggplot2
• {ggfoundry}: Shape Foundry & Geom for 'ggplot2'
• {ggicons}: Icon Geometries for 'ggplot2'
• {ggimage}: Use Images in ggplot2
• {ggpath}: Robust Image Rendering Support for 'ggplot2'
• {ggpattern}: ggplot geoms with pattern fills
• {fillpattern}: Patterned fills for 'ggplot2' and 'grid' graphics
• {ggpop}: Icon-Based Population Charts and Plots for 'ggplot2'
• {ggshroom}: Supplement to ggimage R package for plotting with mushroom icons
• {ggseqlogo}: Generating publication-ready sequence logos in R using ggseqlogo
• {ggtikz}: Add TikZ annotations with absolute data or relative plot coordinates to ggplots
• {mlbplotR}: R package to easily plot MLB logos
• {nflplotR}: NFL Logo Plots in 'ggplot2' and 'gt'

Data and models

• {curves}: Model-Agnostic Response Curves for Fitted Models
• {edgebundle}: R package implementing edge bundling algorithms
• {effectplots}: Fast Effect Plots in R
• {distributional}: Vectorised distributions for R
• {dotwhisker}: Dot-and-Whisker Plots of Regression Results
• {FunnelPlotR}: Funnel plots for comparing institutional performance, with overdispersion adjustment
• {gaussplotR}: Fit, predict, and plot 2D Gaussians
• {GGally}: R package that extends ggplot2
• {ggbiplot}: A ggplot2 based biplot for principal components-like methods
• {ggcompare}: Mean Comparison in 'ggplot2'
• {ggcoverage}: Visualize and annotate genomic coverage with ggplot2
• {ggdendro}: Tools to extract dendrogram plot data for use with 'ggplot2'
• {ggDoE}: Modern Graphs for Design of Experiments with ggplot2
• {ggeffects}: Tidy Data Frames of Marginal Effects for ggplot2
• {ggESDA}: An R package for Exploratory Symbolic Data Analysis using ggplot2
• {ggExametrika}: Visualization of 'exametrika' Output Using 'ggplot2'
• {ggfixest}: Dedicated ggplot2 methods for fixest model objects
• {ggforestplotR}: Publication-Ready Forest Plots with 'ggplot2'
• {ggfortify}: Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages
• {gghotelling}: Hotelling's T² Ellipses and Outlier Detection for 'ggplot2'
• {gginnards}: R package extending 'ggplot2' with manipulation and debugging tools
• {ggip}: R package to visualize IP data
• {ggisotonic}: Add isotonic or monotonic regression curves to ggplots
• {ggkegg}: Analyzing and visualizing KEGG information using the grammar of graphics
• {gglm}: Grammar of Graphics for Linear Model Diagnostic Plots
• {gglorenz}: Plotting Lorenz curves with the blessing of ggplot2
• {ggmice}: Visualize incomplete and imputed data
• {ggmugs}: Visualization of Multiple Genome-Wide Association Study Summary Statistics
• {ggols}: visual expositions of simpler linear models
• {ggparty}: ggplot2 visualizations for the partykit package
• {ggpca}: Publication-Ready PCA, t-SNE, and UMAP Plots
• {ggpmisc}: R package ggpmisc is an extension to ggplot2 and the Grammar of Graphics
• {ggpval}: Add statistical test or annotation to your ggplot2 plots
• {ggsced}: Utilities and Helpers for Single Case Experimental Design (SCED) using 'ggplot2'
• {ggsem}: Interactively Visualize Structural Equation Modeling Diagrams
• {ggsmc}: Visualising Output from Sequential Monte Carlo Samplers and Ensemble-Based Methods
• {ggspec}: Extract and Compare 'ggplot2' Plot Specifications as Tidy Data Frames
• {ggstats}: Extension to ggplot2 for plotting stats
• {ggvegan}: ggplot-based plots for vegan
• {grafify}: Easy Graphs for Data Visualisation and Linear Models for ANOVA
• {gratia}: ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
• {ggpicrust2}: Make Picrust2 Output Analysis and Visualization Easier
• {ggQQunif}: QQ plots for big collections of p-values
• {ggRandomForest}: Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages
• {ggResidpanel}: An R package for creating a panel of diagnostic plots for residuals from a model
• {ggseas}: seasonal adjustment on the fly extension for ggplot2
• {ggstatsplot}: Enhancing 'ggplot2' plots with statistical analysis
• {halfmoon}: Techniques to Build Better Balance in Propensity Score Models
• {interactions}: A comprehensive, user-friendly toolkit for visualizing and analyzing statistical interactions
• {jskm}: R package for Kaplan-Meier Plot
• {jtools}: Tools for summarizing/visualizing regressions and other helpful stuff
• {KMunicate}: Create KMunicate-Style Plots
• {lindia}: Extension package of linear regression diagonostic plots in ggplot2
• {metrica}: Prediction Performance Metrics
• {mlr3viz}: Visualizations for mlr3
• {moderndive}: R package for tidyverse-friendly introductory linear regression
• {naniar}: Tidy data structures, summaries, and visualisations for missing data
• {splineplot}: Visualization of Spline Effects in GAM and GLM Models
• {performance}: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
• {plotROC}: Interactive ROC plots with ggplot + d3.js
• {ppsr}: R implementation of Predictive Power Score
• {prettyglm}: An R package to visualise glm coefficients
• {prettyPanelMatch}: 'ggplot2'-Based Visualization for 'PanelMatch' (Imai, Kim, Wang 2023) Results
• {SBC}: Simulation-based Calibration
• {sjPlot}: Data Visualization for Statistics in Social Science
• {starbility}: Coefficient stability plots under combinations of controls
• {superb}: Summary plots with adjusted error bars
• {tidybayes}: Bayesian analysis + tidy data + geoms
• {treeheatr}: Heatmap-integrated Decision Tree Visualizations
• {truchet}: Package for creating Truchet tiles and mosaics
• {vismi}: Visual Diagnostics for Multiple Imputation
• {visR}: A package to wrap functionality for plots, tables and diagrams adhering to graphical principles

Shiny

• {gglabeller}: Shiny gadget for labeling points on ggplot
• {ggstratify}: Fast Stratified Descriptive Figures with a Point-and-Click GUI
• {ggtips}: Adds interactive tooltip boxes to ggplots (standalone or rendered in Shiny)

Miscellaneous

• {ggai}: Turning natural-language instructions into ggplot2 layers
• {ggrandom}: Introduce Absolute Chaos to 'ggplot2'
• {ggSketch}: Transforms photos into sketch-style contour drawings
• {GoldenVizR}: Rule-Based Quality Checks for 'ggplot2' Visualizations Based on the 25 Golden Rules of Data Visualization

Python packages

• {lets-plot}: multiplatform plotting library built on the principles of the Grammar of Graphics
• {plotnine}: Python implementation of ggplot2 using matplotlib backend
• {patchworklib}: The Composer of plotnine ggplots
• {plotnine3d}: 3D Graphics using the grammar of graphics
• {adjustText}: ggrepel-inspired label placement for matplotlib (integrated with plotnine)

Julia packages

• Gadfly.jl: Crafty statistical graphics for Julia
• TidierPlots.jl: Tidier data visualization in Julia, modeled after the ggplot2 R package

SQL

• ggsql: A grammar of graphics for SQL

Books

• Data Visualization: A practical introduction
• Data Visualization with R
• Fundamentals of Data Visualization
• ggplot2: Elegant Graphics for Data Analysis
• Modern Data Visualization with R

Book chapters

• Cookbook for R: Graphs
• R for Data Science: Data visualisation
• Modern Statistics for Modern Biology: High Quality Graphics in R
• Quantitative Politics with R: Introduction to ggplot2

Online Courses

• edX
  • Data Science: Visualization

Galleries

• ggplot2 extensions
• The R Graph Gallery
• R CHARTS

Text tutorials

• Beginner, introduction

  • a ggplot2 grammar guide
  • A Simple Introduction to the Graphing Philosophy of ggplot2
  • Aesthetics, Geoms, Mappings, Scales, What?
  • An Introduction on How to Make Beautiful Charts With R and ggplot2
  • ggplot2 101
  • ggplot2 Quickref
  • Beautiful plotting in R: A ggplot2 cheatsheet
  • Top 50 ggplot2 Visualizations - The Master List (With Full R Code)
  • A ggplot2 Tutorial for Beautiful Plotting in R
  • Statistical tools for high-throughput data analysis: ggplot2 - Essentials
  • Efficient and beautiful data synthesis: Taking your tidyverse skills to the next level
  • The Ultimate Guide to Get Started With ggplot2
  • Tips and tricks for ggplot2

• Intermediate, general

  • Data visualization using ggplot2 (intermediate)
  • ggplot tricks
  • Iterative visualizations with ggplot2: no more copy-pasting
  • split polygon art
  • Things you may or you may not know in ggplot2

• Theme customisation

  • 3 alternatives to a discrete color scale legend in ggplot2
  • 5 Powerful ggplot2 Extensions
  • 10 Levels of ggplot2: From Basic to Beautiful
  • 10 Tips to Customize Text Color, Font, Size in ggplot2 with element_text()
  • 15 Tips to Customize lines in ggplot2 with element_line()
  • A complete guide to scales
  • An overview of ggplot2 themes
  • Adding social media icons to charts with {ggplot2}
  • Alternatives to Simple Color Legends in ggplot2
  • Bar plot checklist
  • Changing Glyph in legend in ggplot2
  • Coloured text in {ggplot2}: {ggtext} vs {marquee}
  • Creating and using custom ggplot2 themes
  • Custom colour palettes for {ggplot2}
  • Custom themes in ggplot2
  • Designing monochrome data visualisations
  • Five ggplot2 functions I wish I’d known about earlier
  • Five Steps to Improve Your Chart Quickly
  • Getting started with theme()
  • ggplot Wizardry Hands-On
  • How to build a Tufte-style weather graph in R using ggplot2
  • How to make any plot look better
  • Jazz up your ggplots!
  • Creating corporate colour palettes for ggplot2
  • Label line ends in time series with ggplot2
  • Data Viz with Python and R: ggplot2
  • The Evolution of a ggplot (Ep. 1)
  • The guide to gradients in R and ggplot2
  • ggplot2 styling
  • ggplot2 Theme Elements Demonstration
  • Quick and easy ways to deal with long labels in ggplot2
  • Understanding text size and resolution in ggplot2
  • Variations on a ggtheme: Applying a unifying aesthetic to your plots
  • What we learned from creating a custom graphics package in R using ggplot2

• Plot layers

  • 6 Common ggplot2 Mistakes
  • A Quick How-to on Labelling Bar Graphs in ggplot2
  • An Introduction to Writing Your Own ggplot2 Geoms
  • Annotated Forest Plots using ggplot2
  • Correlation heat maps with {ggplot2}
  • Creating a cracked egg plot using {ggplot2} in R
  • Creating flowcharts with {ggplot2}
  • Creating typewriter-styled maps in {ggplot2}
  • Creating upset charts with ggplot2
  • Easy geom recipes
  • Exploring {ggplot2}’s Geoms and Stats
  • Exploring ggplot2 boxplots - Defining limits and adjusting style
  • Exploring other {ggplot2} geoms
  • ggpathway: A tutorial for pathway visualization using tidyverse, igraph, and ggraph
  • Heatmaps in ggplot2
  • How to add annotations in ggplot: should you use geoms or annotations?
  • How to create diverging bar plots
  • Make Multi-point “dumbbell” Plots in ggplot2
  • Real Emojis in ggplot2
  • Recreate a FiveThirtyEight Chicklet Stacked Bar Chart in ggplot2
  • geom_paired_raincloud(): A {ggplot2} geom for visualizing change in distribution between two conditions
  • Plot moving average in R using ggplot2
  • Pyramid Plots in ggplot2
  • Radial Patterns in ggplot2
  • Storytelling in ggplot using rounded rectangles
  • Three Ways to Include Images in Your ggplots
  • Visualizing Distributions with Raincloud Plots (and How to Create Them with ggplot2)
  • Visualizing ordinal variables
  • Waffle charts with svg images

• Regression models

  • Plot Prediction Interval in R using ggplot2
  • Sexy up your logistic regression model with logit dotplots

• Spatial

  • 6 easy ways to map population density in R
  • Adding context to maps made with ggplot2
  • Bivariate maps with ggplot2 and sf
  • Beautiful Maps with R (I): Fishnets, Honeycombs and Pixels
  • Beautiful Maps with R (II): Fun with flags
  • Beautiful Maps with R (III): Patterns and hatched maps
  • Beautiful Maps with R (IV): Fun with flags revisited
  • Beautiful Maps with R (V): Point densities
  • Combining maps and patterns with {ggplot2}
  • Drawing waterlines with ggplot2 in R
  • How to fill maps with density gradients with R, {ggplot2}, and {sf}
  • How to make fancy road trip maps with R and OpenStreetMap
  • How to use a histogram as a legend in {ggplot2}
  • Inset maps with ggplot2
  • Making Middle Earth maps with R
  • Plot RGB satellite imagery in true-color with ggplot2 in R
  • Visualising the 2022 Australian federal election with geom_sugarbag

• Interactive

  • Creating interactive visualizations with {ggiraph} (with or without Shiny)

• Presentation

  • Align multiple ggplot2 plots by axis
  • Annotated equations in ggplot2: Importing latex into ggplot2
  • Combining plots in ggplot2
  • Designing ggplots: making clear figures that communicate
  • How to use natural and base 10 log scales in ggplot2
  • Layered Presentation of Graphics with +aes() in ggplot2
  • Label line ends in time series with ggplot2
  • Reordering and facetting for ggplot2
  • Save space in faceted plots
  • Self-documenting plots in ggplot2

• Statistics

  • Summary statistics
  • Demystifying stat_ layers in {ggplot2}

• Python

  • Annotated area charts with plotnine
  • Plotnine: Grammar of Graphics for Python
  • Describing Distributions

Video tutorials

• Beginner/intermediate

  • ggplot2 workshop part 1
  • ggplot2 workshop part 2
  • A short introduction to grammar of graphics (via ggplot2)

• Customization

  • How to fix the sizes in your ggplots
  • How to make Boxplots in R More Informative (ggplot2 and Extension Packages)
  • ggplot2 Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R
  • Beyond Bar and Box Plots: Chart Alternatives and How to Design Them with ggplot2
  • Perfect Bar Charts in 150 Seconds
  • Recreate a real-world, complex dataviz with R & ggplot

• Packages

  • Create Raincloud Plots with ggplot2 | A Step by Step Guide
  • Building a ggplot2 rollercoaster: Creating amazing 3D data visualizations in R
  • esquisse: ggplot2 builder with Tableau Drag-and-Drop Interface
  • How to Plot Statistical Group Comparisons in R: ggstatsplot
  • Make Your Charts Interactive With the {ggiraph} Package

• Python

  • Practical Techniques for Polished Visuals with Plotnine

TidyTuesday

• Official repository

• Popular submissions

  • Deepali Kank
  • Georgios Karamanis
  • Cédric Scherer
  • Christophe Nicault
  • Nicola Rennie
  • Ryan Hart
  • Tanya Shapiro

Miscellaneous

• A generated list of repos containing themes for ggplot2
• All hail ggplot2—The code powering all those excellent charts is 10 years old
• awesome-r-dataviz
• Comparing ggplot2 and R Base Graphics
• Most upvoted ggplot2 questions on Stack Overflow
• Packages (ggplot2)