Global climate change refers to the rise of earth’s temperature, caused by human factors. It originates from the greenhouse effect of certain gases in our atmosphere like carbon dioxide (CO2) or methane (CH4) that block the escaping heat. The concentration of these gases has risen dramatically by human impact since the mid of the 20th century, with the burning of fossil fuels (oil and gas) and deforestation being main causes of this rise. The observed and expected effects include more and longer periods of draught, wildfires and an increased number of extreme weather events.
Track emissions from Compute and recommend ways to reduce their impact on the environment.
eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.
Measure energy consumption and carbon emissions of software - Timelines, git-integration, Comparions, Dashboards and Optimizations included
💾 Boavizta.org Data repository
Tools for producing high-quality hourly generation and emissions data for U.S. electric grids
A tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial building sectors.
Implementation of EMNLP2020 accepted paper: "TopicBERT: Topic-aware BERT for Efficient Document Classification"
GreenKube: CO2 monitoring and FinGreenOps tool for K8s
The Carbon Footprint Calculator project is a user-friendly web application designed to empower individuals to assess and understand their environmental impact.
Calculating the carbon footprint for any mode of transportation.
Dynamic electricity carbon emission factors and prices for Europe
Display at-a-glance data of carbon intensity or Octopus Agile prices on a Pimoroni Blinkt! display or a Pimoroni Inky pHAT display.
Increasing carbon efficiency and footprint awareness for software applications.
Open-source carbon measurement for cloud infrastructure and Kubernetes workloads. Track emissions from VMs to individual pods.
Patch's Python client library - https://www.patch.io
Implement the Impact Framework at scale to measure the carbon footprint of cloud-based software at both infrastructure and application levels.
eco4cast library aims to reduce carbon footprint of machine learning models with predictive cloud computing scheduling
Support Sustainable Computing to provide customer with metrics for their carbon footprint workload
👧 Greta is an agile voice assistant to help reduce your carbon footprint.
CHARM, a model that estimates the GHG impacts and land-use requirements of forestry
Created by Humanity