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green-computing

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.

Here are 56 public repositories matching this topic...

Measure energy consumption and carbon emissions of software - Timelines, git-integration, Comparions, Dashboards and Optimizations included

  • Updated Oct 10, 2026
  • Python

Application performance monitor (APM) for energy logging and carbon estimation in Python applications with uncertainty-aware marginal emissions.

  • Updated Apr 5, 2026
  • Python

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.

  • Updated Apr 3, 2025
  • Python

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.

  • Updated Aug 29, 2023
  • Python

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.

  • Updated Oct 10, 2026
  • Python
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Website
github.com/topics/green-software
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