Measure energy consumption and carbon emissions of software - Timelines, git-integration, Comparions, Dashboards and Optimizations included
-
Updated
Apr 7, 2026 - Python
Measure energy consumption and carbon emissions of software - Timelines, git-integration, Comparions, Dashboards and Optimizations included
Eco CI Energy estimation for Github Actions, GitLab and Jenkins
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 curated collection of research, tools, and best practices for environmentally sustainable AI development and deployment.
A tool to measure and compare the energy consumption of Python code variants, with a focus on identifying the impact of code smells.
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.
A simple agent to be used with CarbonDB
An ebpf module that exports energy statistics for each process
GreCo energy regression tracker pipeline
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.
🌱 Real-time carbon footprint tracker for Python code. Measure your code's environmental impact and optimize for sustainability.
Add a description, image, and links to the green-coding topic page so that developers can more easily learn about it.
To associate your repository with the green-coding topic, visit your repo's landing page and select "manage topics."