📡 Get Boavizta impact data for your AWS usage.
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Updated
Sep 4, 2025 - Rust
📡 Get Boavizta impact data for your AWS usage.
Jupyter extension to display CPU and GPU power usage and equivalent CO2 emissions
Bilans d'émissions de gaz à effet de serre publiés par les entreprises et collectivités territoriales sur le site de l'ADEME
Use Seattle's public energy data and build a model predicting energy consumption
Statistics project 2 based on the multivariate analysis of a time series dataset
Frictionless environmental data packages
Google Maps, but with a CO2 emissions calculator that takes the route, car, and number of passengers to show how much CO2 each person is emitting to inspire more environmentally conscious traveling.
Emit CO2.js emissions data as a build step with Webpack
Tool to assist software developers track the energy footprint of their code during builds, tests, and deployments.
An app that provides users with an estimated amount of CO2 emissions for trips between any two cities of the world. It also provides current/forecast weather conditions for the destination city.
This team project is consists Python code, recommendation deck, and monitoring dashboard for an Eco-Friendly Online Taxi Company by using K-Means and Hierarchical Clustering of CO2 emissions levels from various car brands.
CO2 equiv. emission by sector 1986-2019
This package performs an emissions and economic analysis of a small-scale (<100 kWe) CHP system paired with thermal energy storage
Data Visualization on Global Climate Trends
Web app showing EU emission pathways in line with the Paris agreement
This contains an exploratory analysis about the link between natural events and climate change.
Base Carbone gérée par l'ADEME, des facteurs d'émission à utiliser pour les bilans d'émission de gaz à effet de serre réglementaires en France
Developer documentation for CO2NEX APIs, SDKs, and integration guides.
Forecast Carbon Emissions with Time-Series data. This repository contains 2x Jupyter Notebooks that predict Carbon Emissions in the United States using Neural Basis Expansion Analysis for Time series (NBeats). The second notebook has an extra pre-processing step of data been scaled and inverse-transformed before final results.
Data ingest for RMI's Utility Transition Hub data (as of March 7, 2022)
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