Comparison
Eco2AI vs Tracarbon
Eco2AI vs Tracarbon: Python library for tracking the CO2 emissions of machine learning models. Python library and CLI that tracks device energy…
| Field | Eco2AI Python library for tracking the CO2 emissions of machine learning models. | 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 | Released under the Apache License 2.0 and installable from PyPI. | Apache 2.0 licensed (LICENSE.txt); installable from PyPI with optional exporter extras. |
| Free tier | Yes | Yes |
| Assets covered | ||
| Platforms | On-premise, Cloud | 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 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 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.
All comparisons