Kalman Filter Python Packages

simdkalman

Python Kalman filters vectorized as Single Instruction, Multiple Data

norfair

Lightweight Python library for adding real-time multi-object tracking to any detector.

btrack

Bayesian multi-object tracking

pypose

A library for differentiable robotics on manifolds.

dynamax

A Python package for probabilistic state space modeling with JAX

microprediction

If you can measure it, consider it predicted

awesomepkf

Python library for pairwise Kalman filtering and smoothing on Gaussian pairwise Markov models: linear PKF, nonlinear EPKF/UPKF/PPF, six equivalent linear smoothers, EM learning and back-action tests. Reference code for two companion papers.

motpy

Library for tracking-by-detection multi object tracking implemented in python

smcx

Sequential inference for state-space models in JAX: Kalman-family filters and smoothers, and SMC methods including particle filters, tempered SMC, and SMC².

thevenin

Equivalent circuit models in Python

particles

Sequential Monte Carlo in python

bayesfilter

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

kalmanflow

KalmanFlow is a Python package I developed while working at Valley Water to estimate reservoir inflow from noisy storage and outflow measurements. It uses Kalman filtering and fixed-lag smoothing to produce stable inflow estimates with model-based uncertainty intervals.

multisensor-lmb-filters-rs

50-1000x Faster multi-sensor labelled Bernoulli filters in Rust and Python via Py03 - A (mostly automated) port of https://github.com/scjrobertson/multisensor-lmb-filters

norfair-enough

Lightweight Python library for adding real-time multi-object tracking to any detector. Maintained fork of tryolabs/norfair.

norfair-rs

Drop-in Rust/Python replacement for norfair — Add real-time multi-object tracking to any detector — A (mostly automated) rust port of norfair https://github.com/tryolabs/norfair

tracklib

Tracklib library provide a variety of tools, operators and functions to manipulate GPS trajectories

pure-ab-3d-mot

The gist of the AB3DMOT (a base-line of 3D multiple-object tracking).

kalman-py

Fast, exact and numerically robust Kalman filters for Python: KF/EKF/UKF, RTS smoothers, noise learning and diagnostics on NumPy or JAX

orbdetpy

Orbit Determination with Python

jaxonomy

JAX-native simulation engine for hybrid dynamical systems — block-diagram modeling, ODE/DAE solvers, events, acausal physics, and end-to-end autodiff (grad/vmap/jit).

baysil

Bayesian Sequential Inference Library for State-Space Models

pyrecest

Recursive Bayesian estimation, filtering, and tracking on Euclidean spaces and manifolds in Python.

rts-smoother

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