Geostatistics Python Packages

gstools

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

pykrige

Kriging Toolkit for Python

xdem

Analysis of digital elevation models and elevation point clouds

g2s

A flexible MPS framework

boitata

my python tooling for geostatistics

gstools-core

A Rust implementation of the core algorithms of GSTools.

geostatspy

GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz

geoarchpy

ArchPy - Stochastic geological modeling

pygeostats

High-performance spatial statistics library for Python with Rust-accelerated core algorithms

jizai

Fast and memory-efficient radial basis function (RBF) interpolation

krigekit

Integrated Python-Fortran toolkit for variogram analysis, kriging, and geostatistical simulation

unbihexium

Python library for Earth observation, geospatial analysis, remote sensing and SAR: spectral indices, terrain, geostatistics, STAC and GeoJSON I/O, a CLI, a FastAPI service and a model zoo of 520 reproducible starter models with ONNX export. MPL-2.0, CPython 3.10 to 3.14.

pysgems

Use SGeMS (Stanford Geostatistical Modeling Software) within Python.

spatialize

Spatialize: A Python/C++ Library for Ensemble Spatial Interpolation

geostatista

Geostatistics: variograms, kriging and spatial autocorrelation

terraflow-agro

Reproducible, uncertainty-aware geospatial suitability pipeline for agriculture + optional GeoAI engine (terraflow geoai {fields,landcover,canopy}) — Ordinary Kriging + LOOCV variogram, Monte-Carlo CIs, Sobol/Morris sensitivity, spatial block CV, deterministic run fingerprints

pygeostat

Python interface for geostatistics

uc-sgsim

An uncondition random field generation tools that are easy to use

pygeko

Fast Generalized Covariance Kriging for Python

geokrige

GeoKrige is a Python package designed for spatial interpolation using Kriging Methods. While primarily tailored for geospatial analysis, it is equally applicable to other spatial analysis tasks.

stif

"Space-Time Interpolation and Forecasting" - Predicting spatio-temporally distributed variables via space-time regression kriging using numpy and numba.

palm-kernel

A python package for geostatistical analysis

pygada

Python geostatistical package to perform automated exploratory and geostatistical data analysis.