Smoothing Python Packages

tsmoothie

A python library for time-series smoothing and outlier detection in a vectorized way.

csaps

Cubic spline approximation (smoothing)

frechetdist

Compute the Fréchet distance between two polygonal curves in Euclidean space.

scikit-fda

Functional Data Analysis Python package

catsmoothing

Smoothing Shapely Geometries with Catmull-Rom Splines

rampy

Python software for spectral data processing (IR, Raman, XAS...)

bayesfilter

Lightweight NumPy-only EKF, UKF, Bayesian filtering and Rauch-Tung-Striebel (RTS) smoothing for Python

l1tv

Denoising/reconstruction of piecewise constant signals using the L1TV model

jizai

Fast and memory-efficient radial basis function (RBF) interpolation

lowess-grouped

Apply groupwise lowess smoothing to a dataframe.

rts-smoother

High-performance Rauch–Tung–Striebel Kalman smoother for the local level model

cssd

Smoothing splines for signals with discontinuities

insurance-whittaker

Whittaker-Henderson smoothing for insurance pricing — 1D/2D, REML lambda selection, Bayesian CIs, Poisson PIRLS

incline

Estimate Local Trend in a Noisy Time Series

eo-kit

:earth_africa: An Earth Observation toolkit written in Rust for use in Python. Python is a popular language for Earth Observation; however, it is so slow for any pixel-wise operations over large areas! This Python packages aims to speed this all up.

itk-smoothingrecursiveyvvgaussianfilter

External module for ITK v4 implementing the Young & Van Vliet recursive gaussian smoothing filter.

whittaker

A Python library for Generalized Additive Models (GAMs) with flexible smoothing, principled inference, and beautiful visualizations.

smoomapy

Brings smoothed maps through python

splinterpy

Library for multivariate function approximation with splines (B-spline, P-spline, and more) with interfaces to C++, C, Python and MATLAB

kalmangrad

Automated, smooth, N'th order derivatives of non-uniformly sampled time series data

regressio

A python library for univariate regression, interpolation, and smoothing.

pypreprocessing

Especially useful for preprocessing of datasets like Raman spectra, infrared spectra, UV/Vis spectra, but also HPLC data and many other types of data. pyPreprocessing includes baseline correction, smoothing, filtering, normalization and transformation.

auto-smooth

Smoothing noisy time series data.

scikit-fda-sim

Functional Data Analysis Python package