ClimateTriage - Impactful open source contributions

Stands for CLIMate ADAptation and is a probabilistic natural catastrophe impact model, that also calculates averted damage (benefit) thanks to adaptation measures of any kind (from grey to green infrastructure, behavioural, etc.).

Provides a series of convenience functions to fit integrated Species Distribution Models.

Allows users to perform wave energy converter device design optimization studies with constrained optimal control.

A comprehensive benchmark dataset designed to enhance the development of machine learning models for instance segmentation of agricultural field boundaries.

Renewable Energy Potential(V) eXchange Toot.

Makes the US' energy data easier to access and use.

A computer platform for ensemble forecasting of species distributions, enabling the treatment of a range of methodological uncertainties in models and the examination of species-environment relationships.

Fast and flexible physics-based battery models in Python.

Aims to provide multi-scale, simulation-based, open source computational tools and models to support the design, analysis, optimization, scale-up, operation and troubleshooting of innovative, advanced energy systems.

API to expose the BOAVIZTA reference data and methodologies to allow full life cycle / multi-criteria environmental impact assessments of software.

A data package for reporting on Northeast Continental Shelf ecosystem status and trends.

A Python package that uses standardized facility release and generation data to create regionalized life cycle inventory (LCI) models for the generation, mix of generation, mix of consumption, and distribution of electricity to end users for the US, with embedded system processes of upstream fuel production and infrastructure.

Enables quantitative analysis of environmental audio, offering tools for processing, segmenting, and computing acoustic features.

Measures, tracks, and rewards the impact on gardens with a simple Progressive Web App.

An easy to use open source tool for power system modeling, analysis and optimization with a high degree of automation.