ClimateTriage - Impactful open source contributions

Light-weight version of Aarhus RE Atlas for converting weather data to power systems data.

A free software toolbox for simulating and optimizing modern power systems that include features such as conventional generators with unit commitment, variable wind and solar generation, storage units, coupling to other energy sectors, and mixed alternating and direct current networks.

Building an extensible, reproducible, test-driven, harmonised, open-source, versioned, ensemble model for air quality.

A 200M-parameter, autoregressive machine learning emulator of an existing comprehensive 100-km resolution global atmospheric model.

We seek to embed sustainable practices into WordPress to ensure the longevity of the project.

A biological collections data management platform.

A Python package designed to simplify and accelerate the process of analysing data from battery cyclers.

Calculates the energy consumption of Python scripts by sampling usage statistics from your hardware components.

Package to calculate several thermal comfort indices (e.g. PMV, PPD, SET, adaptive) and convert physical variables.

Provides a simulation toolbox to run and implement large-scale agent-based electricity grid simulations with focus on distribution grids.

Automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN.

Gives you an easy way to access products from more than 10 earth observation providers, with more than 50 different product types (Sentinel 1, Sentinel 2, Sentinel 3, Landsat, etc.) that can be searched and downloaded.

A Bayesian inference approach for using terrestrial ecosystem observations to optimize terrestrial carbon cycle model states and processes parameters.

A library for steady-state distribution power system analysis distributed for Python and C.

A model for simplified evaluation of the approximate chemistry-climate impact of air traffic emissions.