green-coding

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

Track the carbon footprint of your Claude Code sessions

Eco CI Energy estimation for Github Actions, GitLab and Jenkins

🌱 Skill éco-responsable pour Claude Code : sobriété numérique, audit d'éco-conception (RGESN, GR491, Green Software Foundation) et pratiques de sobriété IA

Liste de liens sur le numérique responsable.

A VS Code extension that shows live electricity grid's carbon intensity and encourages low-carbon coding

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.

A tool to measure and compare the energy consumption of code variants.

A curated collection of research, tools, and best practices for environmentally sustainable AI development and deployment.

🌍 TypeScript superset for SDGs-aware programming. Write sustainable code aligned with UN Sustainable Development Goals through static analysis, runtime monitoring, and developer tools.

Eco-Code Analyzer is a Python library that analyzes code for its ecological impact and provides a score based on various factors such as energy efficiency, resource usage, and code optimizations.

SDGScript | the sustainable programming language. A lighthearted but real tree-walking interpreter in Go.

GreCo energy regression tracker pipeline

An ebpf module that exports energy statistics for each process

A simple agent to be used with CarbonDB

Développez un algorithme de recherche en JavaScript

CitOmni CLI is a lean, low-overhead command-line runtime for PHP, sharing the CitOmni kernel boot model with deterministic config composition, explicit services, and provider-driven command registration.

A repository for collaboration in the course PRO1000N at USN.

Maven and Gradle plugins to measure Spring Boot application energy consumption with JoularCore, compare against a baseline, and fail the build on regressions.