Comparison
Eco2AI vs Experiment Impact Tracker
Eco2AI vs Experiment Impact Tracker: Python library for tracking the CO2 emissions of machine learning models. Drop-in tracker for the energy use, carbon…
| Field | Eco2AI Python library for tracking the CO2 emissions of machine learning models. | Experiment Impact Tracker Drop-in tracker for the energy use, carbon emissions and compute utilization of ML experiments. |
|---|---|---|
| Pricing model | Free | Free |
| Pricing published | Public pricing | Public pricing |
| Starting price | Free | Free |
| Licensing | Open source | Open source |
| Pricing details | Released under the Apache License 2.0 and installable from PyPI. | MIT licensed Python package published on PyPI as experiment-impact-tracker. |
| Free tier | Yes | Yes |
| Assets covered | ||
| Platforms | On-premise, Cloud | On-premise |
| 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 Eco2AI
Built for Python ML practitioners who want emissions logged per experiment with a decorator or explicit start and stop calls, writing a local session record with project, duration, power, hardware and country. The trade-off is modelling scope: the CO2 figure combines measured CPU and GPU power with a regional emission coefficient, so it reflects that coefficient and local power draw rather than metered grid supply, and the log stays local, leaving aggregation and reporting to you. It tracks runs, not infrastructure. Teams needing fleet-wide or audited accounting should feed its logs into a reporting platform.
Read the Eco2AI listingEditor'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 listingJudgement is written by the editor. Paid placements never change the ranking or the recorded field values.
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