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A cloud platform for greenhouse gas data analysis and collaboration.
lang: Python
stars: 44
last activity:
Aims to providhttps://github.com/open-energy-transition/solver-benchmarke a unified standard for understanding, quantifying, and reducing carbon emissions from an organisation's technology landscape.
lang: HTML
stars: 23
last activity:
A real-time visualization of the CO2 emissions from electricity consumption.
lang: Python
stars: 4.0K
last activity:
A browser extension that provides sustainability scores for websites, helping users understand the environmental impact of their browsing habits.
lang: JavaScript
stars: 1
last activity:
A lightweight Python-based tool that calculates the optimal time to run a compute job to minimise its carbon intensity enabling environmentally-conscious scheduling.
lang: Python
stars: 73
last activity:
Method to calculate a gridded, prior emissions estimate for methane across Australia.
lang: Python
stars: 6
last activity:
A Bayesian inference approach for using terrestrial ecosystem observations to optimize terrestrial carbon cycle model states and processes parameters.
lang: Jupyter Notebook
stars: 12
last activity:
A Python library and a command line interface tool for estimating CO2, CH4 and N2O emissions from water reservoirs.
lang: Python
stars: 8
last activity:
A web application that displays emissions within municipalities in Sweden, along with a machine learning data pipeline under development, which will find, extract, and list emissions from companies.
lang: TypeScript
stars: 8
last activity:
Enables the calculation of sector-specific partial social cost of greenhouse gases combined across sectors using a variety of valuation methods and assumptions.
lang: Python
stars: 6
last activity:
A model for simplified evaluation of the approximate chemistry-climate impact of air traffic emissions.
lang: Python
stars: 17
last activity: