CodeCarbon: Estimating the carbon footprint of code

Executing powerful algorithms on servers located all around the world can contribute to global warming. — gorodenkoff/IStock.com/AFP

The CodeCarbon project is offering an open-source tool to help developers estimate the CO2 emissions of their algorithms, in the aim of reducing the carbon footprint of computer code. The program takes into account the complexity of computing required to execute the code and the geographical location of the servers used.

CodeCarbon, which estimates the CO2 footprint of executing computer code, was jointly developed by Mila, a world leader in AI research founded by the Canadian researcher and AI expert, Yoshua Bengio, winner of the prestigious Turing Award in 2018.