graphlayouts
The facts below are what the maker publishes about graphlayouts, checked and dated. Our editors have not written about it yet.
Plans and prices
From graphlayouts's own pricing page, checked 11 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| graphlayouts (R package) | Free | No paid plans or usage limits stated |
The facts
Each one read from graphlayouts's own pages, with the date it was checked.
What it does
- Backbone layout
- The backbone layout uses edge embeddedness to help uncover and emphasize potential group structures.checked 11 Oct 2026
- Centrality layout
- The centrality layout places the node with the highest centrality at the center, with more peripheral nodes farther out.checked 11 Oct 2026
- Data sources
- igraph networks; ggraph; igraphdata; networkdatachecked 23 Sep 2026
- Dynamic networks
- The dynamic layout visualizes longitudinal network snapshots by anchoring nodes to a reference layout and moving them slightly as edges change.checked 11 Oct 2026
- Focus layout
- The focus layout places nodes with the same distance from a focal node on the same circle.checked 11 Oct 2026
- Installation
- The package can be installed from CRAN with install.packages("graphlayouts") or from GitHub with remotes::install_github("schochastics/graphlayouts").checked 11 Oct 2026
- Integrations
- The site demonstrates graphlayouts with ggraph and igraph, and also uses patchwork in examples.checked 11 Oct 2026
- Large networks
- The site describes two algorithms for large networks, with pivot MDS using a small number of pivot nodes and sparse stress trading runtime for layout quality.checked 11 Oct 2026
- Layout algorithms
- The package includes stress majorization, backbone, flexible radial, sparse stress, pivot MDS, dynamic, spectral, multilevel, and UMAP based layouts.checked 11 Oct 2026
- License
- The CRAN package listing identifies the license as MIT plus a license file.checked 11 Oct 2026
- Limits
- The site describes its large graph algorithms in the context of networks under 100,000 nodes, while showing a sparse stress example with 165,000 nodes.checked 11 Oct 2026
- Purpose
- graphlayouts implements graph layout algorithms that are not available in igraph.checked 11 Oct 2026
- Requirements
- The CRAN listing says the package depends on R 3.6.0 or later and imports igraph 2.0.0 or later and Rcpp.checked 11 Oct 2026
- Support
- The project directs users to open a GitHub issue for bugs and support questions.checked 11 Oct 2026
Money
- Free plan
- Yeschecked 23 Sep 2026
Where it runs
- Platform
- desktopchecked 23 Sep 2026
