Comparison

Carbontracker vs Green Algorithms

Carbontracker vs Green Algorithms: Open-source tool that tracks and predicts energy use and carbon footprint of model training. Carbon footprint…

AI Energy MonitoringBoth listings verified
Field-by-field comparison of Carbontracker and Green Algorithms
FieldCarbontracker

Open-source tool that tracks and predicts energy use and carbon footprint of model training.

Green Algorithms

Carbon footprint calculators and HPC energy dashboards for computational science.

Pricing modelFreeFree
Pricing publishedPublic pricingPublic pricing
Starting priceFreeFree
LicensingOpen sourceOpen source
Pricing detailsMIT licensed; installable from PyPI with pip install carbontracker, and the optional pdfreport extra adds PDF report generation.The calculators and dashboards are free to use; the calculator repository carries a Creative Commons Attribution 4.0 International licence, and the project site is licensed CC BY 4.0.
Free tierYesYes
Assets covered
PlatformsOn-premise, CloudWeb, On-premise
Region supportGlobalGlobal
ComplianceNot statedNot stated
API availableNoNo
Last verified2026-10-222026-10-22

Editor's take on Carbontracker

Fits ML teams training on GPU or CPU hosts that want per-run energy and carbon figures plus a forecast of the remaining epochs, with logs and PDF reports for write-ups. The trade-off is attribution and maintenance: consumption is derived from monitored GPU and CPU power and a configured grid intensity, so results follow those inputs rather than provider billing, and it wraps the training script, which means owning the integration and its dependencies. Reporting is run-level, so organisation-wide rollups need another platform. Workloads without visible power telemetry should verify support first.

Read the Carbontracker listing

Editor's take on Green Algorithms

Built for research computing teams that need to estimate and report the carbon footprint of computations and HPC jobs, including a lightweight single-user dashboard that needs no admin access. It offers calculators and dashboards rather than production metering, and the methodology is documented for citation in papers, which suits grant and sustainability reporting. The trade-off is that estimates follow the tool's methodology and user-supplied inputs, so operational telemetry and automated rollups need separate integration. Groups wanting per-workload metering or a commercial reporting platform should pair it with those tools.

Read the Green Algorithms listing

Judgement is written by the editor. Paid placements never change the ranking or the recorded field values.

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