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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 (may not be active yet) |
| 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:
Downloads:
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https://CRAN.R-project.org/package=CodeCarbonR
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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