rlabbe / filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
Purpose and fit
Author description: Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
Basic listing based on official public information; functionality has not been independently evaluated.
Sources: official source 1 · official source 2. Based on public basic information; not an in-depth evaluation.
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Repository info
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- General
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- First collected
- 2026-11-03
- Language
- Python
- License
- MIT · Permissive
- Repository created
- 2014-07-15
- Last push
- 2026-10-27
- Measured at
- 2026-11-03 09:38 UTC
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Raw observations below are not daily gains.
| Measured at | stars | Source |
|---|---|---|
| 2026-11-03 09:38:50 UTC | 3,894 | Source |