Splines Python Packages

csaps

Cubic spline approximation (smoothing)

xspline

Advanced spline package

tinyspline

ANSI C library for NURBS, B-Splines, and Bézier curves with interfaces for C++, C#, D, Go, Java, Javascript, Lua, Octave, PHP, Python, R, and Ruby.

splinekit

SplineKit is a Python-based open-source software library aimed at the manipulation of one-dimensional periodic splines.

pretab

pretab is a flexible and extensible preprocessing library for tabular data, built on top of scikit-learn. It provides advanced transformations, spline and neural feature expansions, and seamless integration with embeddings – all designed for modern tabular ML workflows.

splineops

Python and C++-based N-dimensional signal-processing library with support for GPU computing.

splinecloud-scipy

A Python client for SplineCloud API

cssd

Smoothing splines for signals with discontinuities

dcebe

Estimation of bolus arrival times for DCE-MRI signals

scikit-numerical

Tools for numerical math calculations

volsplineslib

A library for interpolating implied volatility surfaces

sinflow

Sliced Iterative Normalizing Flow with Minimal Dependencies

splinterpy

SPLINTER is a library for multivariate function approximation using splines

ferreus-rbf

Fast, memory efficient radial basis function (RBF) interpolation library

ferreus-bbfmm

ferreus_rbf - Fast global radial basis function (RBF) interpolation in Rust and Python

extensible-splines

Simple, easily verified custom spline interpolation.

cinx

Minimal, differentible, fast cubic interpolation in JAX