ClimateTriage - Impactful open source contributions

A fast line-by-line code for high-resolution infrared molecular spectra.

An open-source energy optimization system that integrates renewable energy sources, such as photovoltaic (PV) systems, battery storage, and smart load management solutions.

A set of documented functions for simulating the performance of photovoltaic energy systems.

A state-of-the-art fully coupled model of the Earth's climate including important biogeochemical and cryospheric processes.

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

Provides a Python API and a CLI interface to extract data for various power infrastructure types, such as power lines, substations, and more.

An open source project and Python package that introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which allows for more intuitive, more concise, and less error-prone user experience.

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.

Open Source Energy Management System.

Plant phenotyping using computer vision.

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

Estimating the energy consumption of CI / CD pipelines on GitHub and GitLab.

Open Energy Dashboard is a user-friendly way to display energy information from smart energy meter.

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

A Python library for reading and manipulating meteorological remote sensing data and writing it to various image and data file formats.