CodeCarbon
An open-source Python toolkit for estimating the carbon emissions generated during the execution of machine learning code, designed to help developers quantify and reduce the environmental impact of AI model training and inference.
Timeline (last 90 days)
CodeCarbon demonstrates a method for estimating emissions associated with computing workloads and is a useful example, but workload-level estimation methods do not automatically establish defensible attribution for each API request.
CodeCarbon, Scaphandre, and Green Metrics Tool are exploratory tools that attempt to estimate carbon emissions or energy consumption at the application level.
All Facts (2)
CodeCarbon demonstrates a method for estimating emissions associated with computing workloads and is a useful example, but workload-level estimation methods do not automatically establish defensible attribution for each API request.
50%UnverifiedCodeCarbon, Scaphandre, and Green Metrics Tool are exploratory tools that attempt to estimate carbon emissions or energy consumption at the application level.
50%