ClimateTriage - Impactful open source contributions

A Python wrapper for the NOAA CO-OPS Tides & Currents Data and Metadata APIs.

A library of derived climate variables, i.e. climate indicators, based on xarray.

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

A collaboration server to plan atmospheric research flights.

Wildfire Predictive Services to support decision making in prevention, preparedness, response and recovery.

An Open Optimisation Model of the Earth Energy System.

An extension of xarray for climate data analysis on structured grids.

Gives you access to real-time and historical surface-based weather and environmental observations for thousands of stations.

Provides an efficient, scalable, and flexible way to store and access large, multi-dimensional arrays, the core data format used in climate models and observational datasets.

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

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.

Tool for Energy Analysis and Simulation for Efficient Retrofit.

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

A Data Visualization tool that enables users to discover and view 3D ocean model output quickly and easily.

A Python software package that provides fundamental tools for accessing, loading and interacting with solar physics data in Python.