CodeCarbonR: Track Energy Consumption and Carbon Emissions of R Code

Wraps the Python 'codecarbon' package via 'reticulate' to measure the energy consumption and estimated carbon emissions of R code. Provides a self-contained setup routine that installs 'codecarbon' into a dedicated conda environment, and an R-facing tracker API for measuring a block of code or a longer-running session.

Version:	0.1.0
Imports:	R6, reticulate
Suggests:	knitr, pkgdown, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-09-05
DOI:	10.32614/CRAN.package.CodeCarbonR
Author:	Beatrice Bock [aut, cre, cph], Rachel Paterson [aut], Dylan van Bramer [aut]
Maintainer:	Beatrice Bock <beabockm at gmail.com>
BugReports:	https://github.com/beabock/CodeCarbonR/issues
License:	MIT + file LICENSE
URL:	https://beabock.github.io/CodeCarbonR/, https://github.com/beabock/CodeCarbonR
NeedsCompilation:	no
SystemRequirements:	Python (>= 3.9); codecarbon Python package (>= 2.2.2), installed via setup_carbon_tracker()
Citation:	CodeCarbonR citation info
Materials:	README, NEWS
CRAN checks:	CodeCarbonR results

Documentation:

Reference manual:	CodeCarbonR.html , CodeCarbonR.pdf
Vignettes:	Quickstart (source, R code)

Downloads:

Package source:	CodeCarbonR_0.1.0.tar.gz
Windows binaries:	r-devel: CodeCarbonR_0.1.0.zip, r-release: CodeCarbonR_0.1.0.zip, r-oldrel: CodeCarbonR_0.1.0.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): CodeCarbonR_0.1.0.tgz, r-release (x86_64): CodeCarbonR_0.1.0.tgz, r-oldrel (x86_64): CodeCarbonR_0.1.0.tgz

Linking:

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