A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

A Python interface for the Generic Mapping Tools.

Miami InSAR time-series software in Python

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Processing and gridding spatial data, machine-learning style

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

THREDDS Data Server v4.6

A parallel, extensible finite element code to simulate convection in both 2D and 3D models.

Forward modeling, inversion, and processing gravity and magnetic data

List of resources for mineral exploration and machine learning, generally with useful code and examples.

LoopStructural is an open-source 3D structural geological modelling library.

A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.

DEPRECATED in favor of our newer libraries (see www.fatiando.org). Python toolkit for modeling and inversion in geophysics.

Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024

Machine learning contest - October 2016 TLE

Xarray extension for unstructured climate and global weather data analysis and visualization.

A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.

The Unidata netcdf-java library