Kernel Density Estimation Python Packages

kditransform

Kernel density integral transformation: feature preprocessing and univariate clustering (TMLR, 2023)

kdepy

Kernel Density Estimation in Python

getdist

MCMC sample analysis, kernel densities, plotting, and GUI

pybnesian

PyBNesian is a Python package that implements Bayesian networks.

r2py-kernsmooth

Python port of R's KernSmooth: binned kernel density estimation, local polynomial regression, and plug-in bandwidth selection, wrapping the original Fortran routines via f2py.

kalepy

Kernel Density Estimation and (re)sampling

debiased-inference

R and Python implementations for Nonparametric Inference via Bootstrapping the Debiased Estimator

lightkde

Lightning fast, lightweight, and reliable kernel density estimation for 1d and 2d samples

skbel

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

kde-diffusion

Kernel density estimation via diffusion in 1d and 2d.

kramersmoyal

kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order

torch-kde

A differentiable implementation of kernel density estimation in PyTorch.

nearmiss-safety

Beta. Statistically honest analysis of road hazards and near misses for safe-streets advocacy: every published rate carries its confidence interval and its denominator, because a count without exposure is not a risk. The committed city datasets are synthetic demonstrations; the reviewed 2020-2024 NHTSA FARS reference surface is real.

fseq2

Improving the feature density based peak caller with dynamic statistics

beta-kde

Beta Kernel Density Estimation compatible with Scikit-learn

mvgkde

MultiVariate Gaussian Kernel Density Estimation

explx

A Python package for exploratory data analysis

spherical-kde

Kernel density estimation on a sphere

hbw

Analytic Bandwidth Selector for NW and KDE Based on CV Hessian

polyexpkde

Fast univariate kernel density estimation with the polynomial-exponential kernel