Comparison
Experiment Impact Tracker vs Tracarbon
Experiment Impact Tracker vs Tracarbon: Drop-in tracker for the energy use, carbon emissions and compute utilization of ML experiments. Python library…
| Field | Experiment Impact Tracker Drop-in tracker for the energy use, carbon emissions and compute utilization of ML experiments. | 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 | MIT licensed Python package published on PyPI as experiment-impact-tracker. | Apache 2.0 licensed (LICENSE.txt); installable from PyPI with optional exporter extras. |
| Free tier | Yes | Yes |
| Assets covered | ||
| Platforms | 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 Experiment Impact Tracker
Fits research groups that want a drop-in tracker producing energy, carbon and compute-utilisation logs, an online appendix and a generated carbon impact statement for papers. Hardware support is specific: Linux hosts with Intel RAPL or powergadget interfaces and NVIDIA GPUs, with real-time Californian grid intensity from caiso.com in that jurisdiction. The trade-off is scope: emissions are estimated from logged power and an intensity source, and the tool is research-oriented, so pipelines, dashboards and organisational rollups are not included. Teams outside those hardware or grid constraints should check support before adopting.
Read the Experiment Impact Tracker 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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