R Observatory: Metrics for edgebundle version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

edgebundle

1.0.0Package record

Algorithms for Bundling Edges in Networks and Visualizing Flow and Metro Maps

0packages depend

4.1Kdownloads / year

87.9%test coverage

13/13flavors OK

Overview

About

Maintained by David SchochCRAN page ↗GitHub ↗Website ↗Issues ↗

Implements several algorithms for bundling edges in networks and flow and metro map layouts. This includes force directed edge bundling doi:10.1111/j.1467-8659.2009.01450.x, a flow algorithm based on Steiner treesdoi:10.1080/15230406.2018.1437359 and a multicriteria optimization method for metro map layouts doi:10.1109/TVCG.2010.24.

Changes in 1.0.0

added edge_bundle(), a single entry point that dispatches to any bundler via type = c("force", "divided", "stub", "path", "hammer", "mingle")
switched the test suite to testthat edition 3 and added correctness tests for every exported function
modernised all igraph calls to the 2.x API, removing deprecation warnings
edge_bundle_force() now also accepts a two-column edgelist matrix
fixed edge_bundle_stub(): the angular grouping was broken (wrong circular-gap handling and a bundle-size cap that summed cluster ids instead of counting edges) and vertical edges could produce NaN. Bundling output changes as a result
fixed edge_bundle_path(): the path-length used in the distortion test was computed along the wrong vertices, so edges were essentially never routed. Bundling output changes as a result
added divided edge bundling for directed graphs via edge_bundle_force(directed = TRUE) (Selassie et al. 2011): edges running in opposite directions are kept in separate lanes
edge_bundle_hammer() is now a native C++ implementation of KDE edge bundling (Hurter et al. 2012) and no longer depends on Python/reticulate/datashader. reticulate was dropped from Imports and install_bundle_py() was removed. Bundling output differs from the datashader-based version
added edge_bundle_mingle(), multilevel agglomerative edge bundling (Gansner et al. 2011); the kNN proximity graph is built with a bundled kd-tree (nanoflann) for O(E log E) scaling, with a k parameter for the number of merge candidates per edge
metro_multicriteria() is deprecated in favour of graphlayouts::layout_as_metromap() and will be removed in a future release
added flow_tree(), a spiral-tree flow map (Verbeek, Buchin & Speckmann 2011): planar, angle-restricted, keeps node positions fixed, and needs no dummy nodes or triangulation. It is the recommended flow map layout; the tnss_*() functions remain as an alternative. flow_tree(optimize = TRUE) additionally refines the tree (smoothness + obstacle avoidance) with join points held fixed
tnss_tree(): order = "weight" now orders leaves by flow magnitude (previously a no-op); fixed a bug in tnss_dummies() where one diagonal corner was misplaced; removed dead code. interp moved from Imports to Suggests (only tnss_tree() needs it)

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("edgebundle", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("schochastics/edgebundle")

Development version from schochastics/edgebundle. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-edgebundle

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-edgebundle

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-edgebundle

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.4 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 485 wordsVignettesNoNEWSYes · 100% structured · mentions 1.0.0Citation fileYes · software entry onlyWebsiteYes · pkgdown

The repository also keeps web-only articles.

Help pages: 17 (1 internal)includes a package overview page
Examples that run: 100%11 run in a plain check
Exported functions with examples: 92%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 53%

How these are measured

Downloads

4.1K

CRAN downloads in the past year

Rank #6,815 · ~11/day · ~341/mo

Releases R versions

Daily download trend is not available in this view yet.

49430 days

1.2K90 days

4.1K1 year

Compare downloads with other packages →

Also on392 r2u8 autocran

How downloads are counted

Repository

schochastics/edgebundle ↗Account: schochastics

139Stars

10Forks

0Open issues

0Open PRs

4Releases

76Commits

2Commit identities

rstatsvisualizationnetwork-analysisgraph-algorithms

76 commits · Last activity 2026-07-24 · +0.7% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 80
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2026-07-14 · 1382026-10-10 · 139

How these are measured

PracticesBeta

12 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/schochastics/edgebundle on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (4)

Code of conductContributing guideIssue templatesSupport guide

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-07-24 · The repository has a site deploy workflow

pkgdown site last built 2026-07-24

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-07-23
Named in .Rbuildignore: .claude
Pull request it wrote: opened by a project member
Commits: at least 16 crediting it in the message

Models named in its commits

Claude Opus 4.816 commits · Jul 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing edgebundle adds 10 packages (7 with compiled code, 9.8 MB of source tarballs). Heaviest: igraph 4.8 MB, Rcpp 1.8 MB, vctrs 1.0 MB.

Depends (1)

R >= 3.5

Imports (2)

Rcpp igraph

LinkingTo (1)

Rcpp

Suggests (4)

testthat network tidygraph interp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

David Schoch

Author, Maintainer since 0.2.0 (2021)

Jose Luis Blanco-Claraco

Copyright holder · added in 1.0.0

Author of the bundled nanoflann C++ library

Releases (8)

Pick two releases to compare their code metrics.

1.0.0Latest
record
2026-07-24 · current release · diff ↗ ·
removed 1 export
install_bundle_py

added 3 exports
edge_bundle, edge_bundle_mingle, flow_tree
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.4.2
record
2023-12-16 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.4.1
record
2022-11-22 · diff ↗
0.4.0
record
2022-07-05 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.3.1
record
2022-01-23 · diff ↗
0.3.0
record
2021-10-30 · diff ↗ ·
added 1 export
edge_bundle_path
0.2.1
record
2021-08-09 · diff ↗
0.2.0
record
2021-08-02
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-08-02
Total releases: 8 / 5 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5
Bundled data: 88 KB / 4 files
Download size: 172 KB

Appears in task views

Network Analysis

Cite

Cite this package

Run in R for the authors' entry:

citation("edgebundle")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for edgebundle version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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