EBImage
Bioc currentImage processing and analysis toolbox for R
Release Lineage
Entered 1.8 · Apr 27, 2006
Current · Requires R 4.6
Description
EBImage provides general purpose functionality for image processing and analysis. In the context of (high-throughput) microscopy-based cellular assays, EBImage offers tools to segment cells and extract quantitative cellular descriptors. This allows the automation of such tasks using the R programming language and facilitates the use of other tools in the R environment for signal processing, statistical modeling, machine learning and visualization with image data.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
190 65 exported
Complexity
4.4 avg / 19 max
Call network
190 nodes / 293 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
11,428
Files
122
Compiled share
38.2%
Has compiled src
Yes
Language breakdown
API
Exported functions
66
Internal functions
36
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.50
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
13.3%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
–
C++ standard
–
License
LGPL
License flags
not SPDX, not OSI
History
Versions
41
First release
2006-07-19
Latest release
2026-04-28
Avg cadence
179 days
Cold removal rate
100%
Dep drift
17
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 94%
- Return-value docs
- 94%
- References docs
- 19%
Topics
Depended on by (56)
Bioconductor (38)
People
Andrzej Oleś
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("EBImage")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.