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CytoML

Bioc current

A GatingML Interface for Cross Platform Cytometry Data Sharing

v2.24.0 · software · AGPL-3.0-only

Release Lineage

Entered 3.4 · Oct 18, 2016

Current · Requires R 4.6

1.0 In 20 of 49 releases 3.23

Description

Uses platform-specific implemenations of the GatingML2.0 standard to exchange gated cytometry data with other software platforms.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

184 28 exported

Complexity

4.1 avg / 55 max

Call network

184 nodes / 283 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

11,392

Files

217

Compiled share

2.7%

Has compiled src

Yes

Language breakdown

R 6,840 (60%)C/C++/src 307 (2.7%)Tests 2,146 (18.8%)Docs 1,232 (10.8%)Vignettes 867 (7.6%)

API

Exported functions

30

Internal functions

137

Recent export changes

v3.9+12 CytoML.par.get, CytoML.par.set, closeWorkspace +9 more
v3.6−1 set.count.xml

Testing & CI

Has tests

Yes

Test-to-code ratio

0.31

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

22.7%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

3

C++ standard

C++17

License

AGPL-3.0-only

License flags

not SPDX, not OSI

History

Versions

20

First release

2016-12-30

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

91.7%

Dep drift

22

LOC over versions

v3.4: 4,116 LOCv3.5: 4,840 LOCv3.6: 5,112 LOCv3.7: 5,558 LOCv3.8: 5,733 LOCv3.9: 8,803 LOCv3.10: 11,738 LOCv3.11: 11,021 LOCv3.12: 11,486 LOCv3.13: 11,582 LOCv3.14: 11,582 LOCv3.15: 11,582 LOCv3.16: 11,394 LOCv3.17: 11,394 LOCv3.18: 11,392 LOCv3.19: 11,392 LOCv3.20: 11,392 LOCv3.21: 11,392 LOCv3.22: 11,392 LOCv3.23: 11,392 LOC

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

Documentation

Documentation
READMEYes · 954 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
24%
Documented parameters
100%
Return-value docs
85%
References docs
0%

Topics

Depended on by (3)

Bioconductor (3)

People

Mike Jiang

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CytoML")

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 CytoML version 2.24.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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