simondlevy/TinyEKF

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1217 stars · 366 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TinyEKF is a lightweight, header-only C/C++ implementation of the Extended Kalman Filter designed for microcontrollers like Arduino and STM32 using static memory allocation. It includes a Python class for prototyping EKF models before porting them to C/C++.

Use cases

• implement an extended kalman filter on arduino
• sensor fusion for barometer and temperature sensors
• prototype a kalman filter in python before porting to c
• run state estimation on stm32 microcontroller
• track objects with a kalman filter using opencv
• embed an ekf in embedded c code without dynamic memory allocation

When to choose

• you need an EKF on resource-constrained microcontrollers with no malloc
• you want to prototype in Python then deploy in C/C++
• you need a small, header-only filter library for Arduino or STM32

When to avoid

• you need an unscented or particle filter
• you need dynamically sized state vectors at runtime
• you need a full sensor fusion framework with driver support

Facets

library · maturity stable

machine-learning simulation sdk robotics embedded-systems iot embedded cpp c python cross-platform kalman-filter extended-kalman-filter sensor-fusion arduino microcontroller header-only state-estimation algorithms

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