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

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.

Forward modeling, inversion, and processing gravity and magnetic data

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.

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

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

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.

A set of tools for getting the most from your geochemical data.

[ICLR'25] ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery

InSAR phase linking library for creating surface displacement maps using persistent scatterer (PS) and distributed scatterer (DS) processing

MIAmi Phase Linking in PYthon

LOWTRAN atmospheric absorption extinction, scatter and irradiance model--in Python and Matlab

Awesome Geophysics is a community-curated resource offering essential tools, datasets, and educational materials for geophysical exploration. It’s designed to empower students, researchers, and professionals to analyze data, model Earth processes, and stay connected with the latest industry trends.

To transform, project, visualize, and read Digital Elevation Models (ASTERGDEMv2.0 and EUDEMv1.1). [简单实用] 数字高程模型的变换、投影、可视化和读取。

HydroMT: Automated and reproducible model building and analysis