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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 25 public repositories matching this topic...

DePIN for Vintage Hardware — Proof-of-Antiquity blockchain where old machines outmine new ones. AI-powered hardware fingerprinting, 15+ CPU architectures, Solana bridge (wRTC). $0 VC.

  • Updated Apr 20, 2026
  • Python

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

  • Updated Apr 20, 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
Lanzarini-Model-Energy-Saving

Lanzarini Model (Geodetic-Entropic Optimization). Official Protocol: 18 March 2026. Reducing AI energy consumption by 58.42% (5.01 TWh/year) via Geodesic L-Operator and 2.99 Hz Resonance.

  • Updated Apr 18, 2026
  • Python
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Website
github.com/topics/green-software
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