Open-source tool that tracks and predicts energy use and carbon footprint of model training.
- Pricing
- Free
- Category
- AI Energy Monitoring
- Compliance
- Not stated
AI Energy Monitoring
Open-source Python library that estimates the carbon emissions of compute.
CodeCarbon is an open-source Python library that estimates the carbon emissions of compute. It measures CPU, GPU and RAM power use, combines it with regional grid carbon intensity, and reports emissions for training runs, inference jobs and other workloads. Developers can use the Python API (EmissionsTracker) or run 'codecarbon monitor' from the command line; a public dashboard can collect and display tracked emissions. The project is a non-profit initiative and is free to self-host.
Open-source tool that tracks and predicts energy use and carbon footprint of model training.
Python library for tracking the CO2 emissions of machine learning models.
Developer tool for measuring the energy and CO2 consumption of software through lifecycle analysis.