Measure energy consumption and carbon emissions of software - Timelines, git-integration, Comparions, Dashboards and Optimizations included
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Updated
Oct 10, 2026 - Python
This topic gathers projects that exemplify or help to provide green computing. Green software is engineered to reduce energy consumption, which considers factors like algorithmic and language efficiency, networking, storage footprint, compute requirements, and so forth. Some projects follow great green software practices that should be highlighted; others help the rest of the world greenify their own code. The projects collected here are a mix of both.
Measure energy consumption and carbon emissions of software - Timelines, git-integration, Comparions, Dashboards and Optimizations included
PowerAPI is a Python framework for building software-defined power meters.
A co-simulation testbed for microgrids and energy-aware systems 🍃
The "Economy Mode" for AI Compute
GreenKube: CO2 monitoring and FinGreenOps tool for K8s
SmartWatts is a formula for a self-adaptive software-defined power meter based on the PowerAPI framework.
🌏 Simple Energy-Calculator Script In Python
Energy measurement framework for Mobile Apps
Application performance monitor (APM) for energy logging and carbon estimation in Python applications with uncertainty-aware marginal emissions.
Green Software Use on HPC
PowerAPI formula using RAPL counters to provides power consumption information.
Hackathon winner at AI Engineer World Fair Hackathon: Transforming code, one function at a time, to reduce digital carbon footprints and create a more sustainable digital world.
AI-powered carbon footprint tracker — log eco-friendly habits (walking, cycling, public transport, no AC) and get real-time CO₂ savings with personalised sustainability insights.
A tool to measure and compare the energy consumption of code variants.
Python library for Green Computing - uses carbon intensity APIs to make code execution low-carbon
Compact Image Captioning (CoCA) is an open source image captioning project to promote Green Computer Vision, as well as to make image captioning research accessible to universities, research labs and individual practitioners with limited financial resources.
Predict the energy consumption of Kubernetes workloads from their specs, before they run. Ground-truth energy labels from Kepler (eBPF) via Prometheus.
OWL (Online WattLab) — measures the real device-side energy cost of video transcoding and AI inference on physical hardware with a calibrated smart plug, not models or estimates. Every result carries a traffic-light confidence rating.
Carbon Aware cloud scheduler -- enabling a sustainable cloud
Monitoring power consumption and calculates CO2 emissions from Kubernetes containers