Comparison
Green Algorithms vs Tracarbon
Green Algorithms vs Tracarbon: Carbon footprint calculators and HPC energy dashboards for computational science. Python library and CLI that tracks…
| Field | Green Algorithms Carbon footprint calculators and HPC energy dashboards for computational science. | Tracarbon Python library and CLI that tracks device energy consumption and estimates carbon emissions. |
|---|---|---|
| Pricing model | Free | Free |
| Pricing published | Public pricing | Public pricing |
| Starting price | Free | Free |
| Licensing | Open source | Open source |
| Pricing details | 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. | Apache 2.0 licensed (LICENSE.txt); installable from PyPI with optional exporter extras. |
| Free tier | Yes | Yes |
| Assets covered | ||
| Platforms | Web, On-premise | On-premise, Cloud |
| Region support | Global | Global |
| Compliance | Not stated | Not stated |
| API available | No | No |
| Last verified | 2026-10-22 | 2026-10-22 |
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 listingEditor's take on Tracarbon
Suited to teams running workloads on hosts or Kubernetes clusters that want an emissions signal beside existing observability, exported to Prometheus, Datadog or Kubernetes. The trade-off is data provenance: carbon intensity comes from the Electricity Maps API when a key is configured and otherwise from bundled country and cloud-region data, so accuracy and regional coverage depend on that choice, and per-process or per-container figures carry attribution assumptions. Someone must operate the agent and keep factors current. Organisations needing supplier-reported or audited figures should use it alongside provider tools rather than alone.
Read the Tracarbon listingJudgement is written by the editor. Paid placements never change the ranking or the recorded field values.
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