Kriging Python Packages

gstools

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

pykrige

Kriging Toolkit for Python

krigekit

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

gstools-core

A Rust implementation of the core algorithms of GSTools.

pylibkriging

kriging library for performance and wide language support

pyinterpolate

Kriging | Poisson Kriging | Variogram Analysis

gpmp

GPmp: the Gaussian process micro package

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

py3dinterpolations

quick 3D interpolation with python

spatialize

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

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.

unbihexium

Production-grade Earth Observation, Geospatial AI, Remote Sensing, and SAR Python library with 520 pre-trained models