thomasp85/ggraph

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1116 stars · 114 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ggraph is an R package that extends ggplot2's grammar of graphics to relational data such as networks, graphs, and trees. It adds the concept of layouts to the grammar and provides dedicated geom_node_*() and geom_edge_*() geoms so graph visualizations compose like any other ggplot2 plot.

Use cases

• visualize network graphs in R using ggplot2 syntax
• plot nodes and edges of an igraph or tidygraph graph
• draw trees, dendrograms, or hierarchical data as plots
• create treemaps, icicle plots, hive plots, or circle packing charts
• make faceted network visualizations grouped by node or edge attributes
• add statistical graph graphics to a tidyverse data-science workflow

When to choose

• You already use ggplot2 and the tidyverse and want network, graph, or tree plots in the same declarative style
• You need a wide choice of graph layouts (Kamada-Kawai, hive, treemap, circle packing, plus all igraph layouts) combined with layered geoms and facets
• You want publication-quality static graph figures with full control over nodes, edges, and theming

When to avoid

• You need interactive, browser-based network exploration rather than static graphics
• You are not working in R (the package is a ggplot2/tidygraph companion)
• You want a one-line plot function with no grammar-of-graphics learning curve

Facets

library · maturity stable

data-visualization charts data-visualization data-science cross-platform r ggplot2 ggplot2-extension tidygraph igraph network-graphs graph-layouts trees treemaps hive-plots circle-packing node-edge-geoms cran statistical-graphics

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markdown · JSON · MCP: product_card(name="thomasp85/ggraph")