PyRank
  • Search
  • PyPI
  • GitHub
  • Insights
  • Compare
  • Advisories
  • Ecosystem
  • About

Interpolation Python Packages

Python packages with the GitHub topic interpolation. Sorted by monthly downloads, with stars and forks.
GeoStat-Framework
pykrige

Kriging Toolkit for Python

64K 862 204
WenjieDu
pygrinder

PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing

63K 71 7
loop3d
loopstructural

LoopStructural is an open-source 3D structural geological modelling library.

25K 296 58
fatiando
verde

Processing and gridding spatial data, machine-learning style

20K 673 76
NikoBiele
convinterp

High-order convolution interpolation, derivatives and integrals on uniform grids in any dimension, for Python with a Rust core. Port of ConvolutionInterpolations.jl.

17K 0 0
jlogan03
interpn

N-dimensional interpolation methods in Rust and Python, no-std compatible

13K 76 3
cheginit
catsmoothing

Smoothing Shapely Geometries with Catmull-Rom Splines

10K 5 0
semitable
easing-functions

A collection of Penner's easing functions for Python

7K 130 11
lapets
lagrange

Pure-Python implementation of Lagrange interpolation over finite fields.

7K 3 4
GiorgioMedico
interpolatepy

🚀 InterpolatePy: A fast and precise Python library for production-ready trajectory planning, offering 20+ algorithms for C² continuous splines, jerk-limited S-curves, and quaternion interpolation for robotics, animation, and scientific computing.

7K 26 4
sun-data
regridding

Numba-accelerated interpolation of NumPy n-dimensional arrays.

7K 2 0
cgre-aachen
gempy

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.

6K 1K 281
SciTools-incubator
stratify

Vectorized interpolators for Nd atmospheric and oceanographic data

5K 30 19
hugoledoux
startinpy

A Python library for modelling and processing 2.5D terrains using a (2D) Delaunay triangulation.

5K 40 7
cgohlke
akima

Akima interpolation.

4K 2 0
AnBowell
whittaker-eilers

A sparse matrix implementation of Whittaker-Eilers smoothing and interpolation

3K 46 4
simicd
smithwilson

Implementation of the Smith-Wilson yield curve fitting algorithm in Python for interpolations and extrapolations of zero-coupon bond rates

3K 23 8
CNES
pyinterp

Python library for optimized interpolation.

2K 141 18
alexshtf
torchcurves

Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs

2K 68 2
marzukia
ppgrid

Fast continent-scale raster interpolation for scattered point data. Turns millions of geolocated points into gapless GeoTIFF in minutes using IDW and pull-push mipmap algorithms. No GPU required.

2K 3 0
WrighterX
interlib-rs

Interpolation methods module designed as a faster and safer alternative to scipy.interpolate

1K 1 0
Technologicat
wlsqm

Weighted least squares meshless interpolator and differentiator. Py3.11-3.14.

984 19 4
theochem
qc-grid

Python library for numerical integration, interpolation, and differentiation on (molecular) grids.

929 101 42
InsightSoftwareConsortium
itk-genericlabelinterpolator

The basic idea of this generic interpolator for label images is to interpolate each label with an ordinary image interpolator, and return the label with the highest value. This is the idea used by the itk::LabelImageGaussianInterpolateImageFunction interpolator. Unfortunately, this class is currently limited to Gaussian interpolation. Using generic programming, our proposed interpolator extends this idea to any image interpolator. Combined with linear interpolation, this results in similar or better accuracy and much improved computation speeds on a test image.

893 4 7
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology