Splines Python Packages

csaps

Cubic spline approximation (smoothing)

xspline

Advanced spline package

splinekit

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

splineops

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

ferreus-rbf

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

splinecloud-scipy

A Python client for SplineCloud API

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.

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.

ferreus-bbfmm

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

cssd

Cubic smoothing splines for discontinuous signals (CSSD)

ferreus-rmt

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

dcebe

Estimation of bolus arrival times for DCE-MRI signals

scikit-numerical

Tools for numerical math calculations.

volsplineslib

VolSplinesLib is a Python library for interpolating implied volatility surfaces using various volatility models. The library provides tools for fitting and interpolating models to market data, supporting popular methods like RFV, SLV, SABR, and SVI.

sinflow

Sliced Iterative Normalizing Flow

splinterpy

SPLINTER is a library for multivariate function approximation using splines

extensible-splines

Simple, easily verified custom spline interpolation.

cinx

Very minimal and straightforward cubic interpolation on splines in JAX. Pure differentiable JAX.