Introduction | Installation | Basic Usage | Calculating Carbon Footprint | Understanding the Results | Location-Specific Carbon Intensity | Hardware Configuration | Current R Session Footprint | Visualization with Reference Values | Best Practices | Next Steps | References
Package: greenAlgoR 0.2.0.9000
greenAlgoR: Carbon Footprint Estimation for 'R' Computations
Computes the carbon footprint and ecological impact of computational tasks in 'R'. Based on the 'Green Algorithms' framework (Lannelongue et al. 2021, <https://calculator.green-algorithms.org/>), this package provides functions to estimate energy consumption and CO2 emissions from 'R' computations. It includes specialized support for 'targets' pipelines and provides visualization tools for carbon footprint analysis. The package helps researchers and data scientists to measure the environmental impact of their computational work.
Authors:
greenAlgoR_0.2.0.9000.tar.gz
greenAlgoR_0.2.0.9000.zip(r-4.7-any)greenAlgoR_0.2.0.9000.zip(r-4.6-any)greenAlgoR_0.2.0.9000.zip(r-4.5-any)
greenAlgoR_0.2.0.9000.tgz(r-4.6-any)greenAlgoR_0.2.0.9000.tgz(r-4.5-any)
greenAlgoR_0.2.0.9000.tar.gz(r-4.7-any)greenAlgoR_0.2.0.9000.tar.gz(r-4.6-any)
greenAlgoR_0.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
greenAlgoR/json (API)
| # Install 'greenAlgoR' in R: |
| install.packages('greenAlgoR', repos = c('https://adrientaudiere.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/adrientaudiere/greenalgor/issues
Pkgdown/docs site:https://adrientaudiere.github.io
Last updated from:b8dcf1a2d3. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | WARNING | 170 | ||
| source / vignettes | OK | 246 | ||
| linux-release | WARNING | 163 | ||
| macos-release | WARNING | 161 | ||
| macos-oldrel | WARNING | 167 | ||
| windows-devel | WARNING | 130 | ||
| windows-release | WARNING | 146 | ||
| windows-oldrel | WARNING | 119 | ||
| wasm-release | OK | 111 |
Exports:csv_from_url_gaga_autometric_historyga_autometric_lastrunga_autometric_plotga_footprintga_targetsga_targets_meta_plotga_targets_networkround_conditionalysession_runtime
Dependencies:askpassbackportsbase64urlbenchmarkmebenchmarkmeDatacallrclicodetoolscpp11curldata.tabledoParalleldplyrevaluatefarverforeachgenericsggplot2gluegtablehighrhttrigraphisobanditeratorsjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmimeopensslotelpillarpkgconfigprettyunitsprocessxpsR6RColorBrewerrlangS7scalessecretbasestringistringrsystargetstibbletidyselectutf8vctrsviridisLitewithrxfunyaml
Getting Started with greenAlgoR
Last update: 2026-05-12
Started: 2025-09-24
Using greenAlgoR with targets Pipelines
Introduction | Setup | Basic targets Integration | Simple Example | Advanced Pipeline Analysis | Comparing Different Configurations | Visualizing Pipeline Carbon Footprint | Target-Level Analysis | Best Practices for Sustainable Pipelines | Integration with Workflow | Conclusion | References
Last update: 2026-05-12
Started: 2025-09-24
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| 'greenAlgoR' package | greenAlgoR-package |
| Load CSV files from Green Algorithms GitHub repositories | csv_from_url_ga |
| Plot the full history of every logged run, including reruns | ga_autometric_history |
| Plot the last-run duration of every stored target from an 'autometric' log | ga_autometric_lastrun |
| Plot resource-usage logs recorded by the 'autometric' package | ga_autometric_plot |
| Compute footprint in grams of CO2 using Lannelongue et al. 2021 algorithm | ga_footprint |
| Calculate carbon footprint for targets pipelines | ga_targets |
| Plot per-target runtime and output size from 'targets' metadata | ga_targets_meta_plot |
| Visualize a 'targets' pipeline as a resource-annotated network | ga_targets_network |
| Conditionally round numeric values based on magnitude | round_conditionaly |
| Compute session runtime and memory usage statistics | session_runtime |