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@@ -14,6 +14,8 @@ For people new to Kalman filters, they're well explained here https://www.youtub
 
 Maintained by George Pearse, Lead MLE at [Visia](https://www.visia.ai/)
 
+This is the fork of the original and excellent filterpy (https://github.com/rlabbe/filterpy), only forked because of the pull requests left without response for essential upgrades to packaging to support python 3.12+ etc. etc. 99% of the functionality remains identical, but I'm adding testing and typing etc. so that the repo is ready for lower cost upgrades.
+
 This library provides Kalman filtering and various related optimal and non-optimal filtering software written in Python. It contains Kalman filters, Extended Kalman filters, Unscented Kalman filters, Kalman smoothers, Least Squares filters, fading memory filters, g-h filters, discrete Bayes, and more.
 
 This is a comprehensive implementation of Kalman filters and related estimation algorithms in Python.