Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
EnergyVis is a tool for interactively tracking and exploring energy consumption for machine learning models. It provides a frontend interface and an optional backend to collect real-time energy data during training, using the CarbonTracker library. A live demo is available at http://poloclub.github.io/EnergyVis/, and the project includes installation instructions and a CHI manuscript reference.
Parse Score