Open-source libraries and product-grade applications for AI-assisted geoscience, forecasting, and environmental decision support.
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GeoPrior-3.0 Forecaster
Commercial spotlight
A guided desktop environment for operationalizing GeoPrior-v3 from data intake to reproducible geohazard forecasting.
A single place to browse research libraries, forecasting packages, and productized tools.
Emerging product experiences designed for richer workflows, screenshots, and product storytelling.
Reusable libraries with public docs and code that anchor the broader software ecosystem.
Browse and compare
Search across research packages and commercial applications, then jump into the tools that best match your forecasting or geoscience workflow.
Featured Open-Source Tools
Python toolbox for AMT/CSAMT: end-to-end processing, SEG-EDI/Zonge compatibility, and 2D/3D geophysical inversion workflows.
Polar diagnostics toolkit for forecast uncertainty, coverage, calibration, and severity.
Scientific Python framework for physics-guided geohazard analysis, forecasting, and risk-oriented interpretation.
Productized applications with guided workflows, richer interfaces, and room for dedicated landing pages.
A guided desktop environment for operationalizing GeoPrior-v3 from data intake to reproducible geohazard forecasting.
Reusable libraries, research tools, and community packages with public code and documentation.
Toolkit for adaptive Hammerstein-Wiener system modeling (nonlinear + linear blocks) with a scikit-learn-friendly API for regression/classification/TS.
All-in-one ML utilities designed to streamline data science workflows—fast helpers for preprocessing, modeling, and evaluation.
Python library for groundwater exploration: integrates DC resistivity (ERP/VES), EM, geology, and ML for siting wells, predicting yields, and restoring noisy EM signals.
Machine-learning workflows for hydrogeology, from K estimation to drilling support and well productivity analysis.
ML pipeline to predict groundwater flow rate from geology and DC resistivity (ERP/VES); automates optimal drilling-site selection and reduces dry-well risk.