CodeCarbon

Purpose:: Estimate CO2 emissions of Python applications

Website:: https://codecarbon.io/
Docs:: https://mlco2.github.io/codecarbon/
Source Code:: https://github.com/mlco2/codecarbon

Description

CodeCarbon is a lightweight software package that seamlessly integrates into your Python codebase. It estimates the amount of carbon dioxide (CO2) produced by the cloud or personal computing resources used to execute the code.

Research paper

Lottick, K., Susai, S., Friedler, S. A., & Wilson, J. P. (2019). Energy Usage Reports: Environmental awareness as part of algorithmic accountability. https://doi.org/10.48550/arXiv.1911.08354
Blog post about the paper: AI Computing Emits CO₂. We Started Measuring How Much (by Kamal Goyal) | Medium

Methodology

Methodology — CodeCarbon 2.0.0 documentation

• CPU (Intel): RAPL
• GPU (Nvidia): System Management Interface (smi) → pynvml library
• RAM: static value (rough estimation)

Usage

from codecarbon import EmissionsTracker
tracker = EmissionsTracker()
tracker.start()
# GPU Intensive code goes here
tracker.stop()