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enrichplot

Bioc current

Visualization of Functional Enrichment Result

v1.32.1 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.7 · May 1, 2018

Current · Requires R 4.6

1.0 In 17 of 49 releases 3.23

Description

The 'enrichplot' package provides visualization methods for interpreting functional enrichment results from ORA or GSEA analyses. It is designed to work with the 'clusterProfiler' ecosystem and builds on 'ggplot2' for flexible and extensible graphics.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

96 13 exported

Complexity

4.7 avg / 24 max

Call network

96 nodes / 114 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

8,232

Files

70

Compiled share

0%

Has compiled src

No

Language breakdown

R 6,240 (75.8%)Docs 1,973 (24%)Vignettes 19 (0.2%)

API

Exported functions

33

Internal functions

83

Recent export changes

v3.8+6 ggtable, ggtitle, gseaplot2 +3 more
v3.7+9 cnetplot, color_palette, dotplot +6 more

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

12

Dep constraint coverage

29.2%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.2.0

System requirements

–

C++ standard

–

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

17

First release

2018-05-29

Latest release

2026-09-27

Avg cadence

187 days

Cold removal rate

100%

Dep drift

33

LOC over versions

v3.7: 1,974 LOCv3.8: 2,364 LOCv3.9: 2,086 LOCv3.10: 2,293 LOCv3.11: 3,092 LOCv3.12: 4,759 LOCv3.13: 5,196 LOCv3.14: 5,344 LOCv3.15: 5,885 LOCv3.16: 7,639 LOCv3.17: 7,795 LOCv3.18: 7,901 LOCv3.19: 7,965 LOCv3.20: 6,664 LOCv3.21: 6,358 LOCv3.22: 6,731 LOCv3.23: 8,232 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
README· In the Bioconductor git repository, left out of the releaseVignettesYes · 1 · staticNEWSYes · 100% structuredCitation fileNoWebsiteYes
Help pages
36 (4 internal)includes a package overview page
Examples that run
38%5 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran) · 6 never run
Exported functions with examples
44%
Documented parameters
100%
Return-value docs
92%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/guangchuangyu/enrichplot on 2026-10-11.

Governance and community (1)
Code of conduct
Docs source (1)
README.Rmd
Reproducibility and dev environment (1)
Makefile
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Topics

Maintainer
Guangchuang Yu

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (21)

Show all 39 packagesHide all 39 packages

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("enrichplot")
Yu, G., & Gao, C. (2026). enrichplot: Visualization of Functional Enrichment Result (Version 1.32.1) [Computer software]. https://bioconductor.org/packages/enrichplot

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for enrichplot version 1.32.1 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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