Kriging Python Packages

gstools

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

pykrige

Kriging Toolkit for Python

pylibkriging

kriging library for performance and wide language support

boitata

my python tooling for geostatistics

gstools-core

A Rust implementation of the core algorithms of GSTools.

pyinterpolate

Kriging | Poisson Kriging | Variogram Analysis

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

gpmp

GPmp: the Gaussian process micro package

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

py3dinterpolations

Easy python 3d 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.