A K8s operator to reduce CO2 footprint of your clusters
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Updated
Sep 18, 2024 - Go
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.
A K8s operator to reduce CO2 footprint of your clusters
Estimate the carbon footprint of a user scenario on a web application
Coppers is a custom test harnass for Rust that measures the energy usage of your test suite.
SlimFaas : The slimest and simplest Function As A Service
Measure energy and carbon consumption of software
An online open-source database of software patterns reviewed and curated by the Green Software Foundation across a wide range of categories.
🌱 EcoLogits tracks the energy consumption and environmental footprint of using generative AI models through APIs.
Eco CI Energy estimation for Github Actions Runner VMs
Welcome to GitHub's Green Software Directory!
GSF Open Source WG
A curated list of awesome Green AI resources and tools to reduce the environmental impacts of using and deploying AI.
Susie checks GitHub repositories for sustainability and provides interesting knowledge for developers regarding sustainable software development.
Increasing carbon efficiency and footprint awareness for software applications.
An attempt to centralized some resources about sustainable programming, green computing and frugal engineering.
🌱 A tool for measuring the power consumption and carbon footprint of your software.
Website of the course Sustainable Software Engineering
Android-specific Energy Smell Identification and Refactoring plugin for IntelliJ IDEA-based IDEs
Greenhopper is a small .NET library that adds carbon aware capabilities to your Azure Function, converting your non-critical workload to a sustainable one that runs only when the regions' electricity is greener.