Kalman Filter Python Packages

norfair

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

simdkalman

Python Kalman filters vectorized as Single Instruction, Multiple Data

dynamax

A Python package for probabilistic state space modeling with JAX

pypose

A library for differentiable robotics on manifolds.

tracklib

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

btrack

Bayesian multi-object tracking

motpy

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

microprediction

If you can measure it, consider it predicted

pyrecest

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

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

particles

Sequential Monte Carlo in python

thevenin

Equivalent circuit models in Python

pure-ab-3d-mot

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

kalmankit

Multidimensional implementation of standard and extended Kalman Filters. Filtering and smoothing.

norfair-enough

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

orbdetpy

Orbit Determination with Python

navlie

A state estimation package for Lie groups!

kalman-estimation

Kalman filter based coefficient estimation toolbox.

marmo

Markov-like processes as one recursion over a belief algebra and a semiring: HMM, HSMM, Kalman, and particle inference behind a decidable engine dispatch.

motrainer

Distributed Measurement Operator Trainer for Data Assimilation Applications

imusensor

Python library for communication between raspberry pi and MPU9250 imu

artan

Online latent state estimation with Spark

rts-smoother

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

tsa-course

A collection of scripts and functions used in the course 'Time Series Analysis with Python'