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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'.
MIT License
3.22k stars 612 forks source link

new release since version 1.4.5 ? #277

Open bmx666 opened 1 year ago

bmx666 commented 1 year ago

Last release 1.4.5 was in 11 Oct 2018. Any news or updates?

sciafri commented 1 year ago

Hey @rlabbe there's quite a few issue tickets without response; a couple of which are wondering about a new release based off of the latest commits and I'm also interested in that as well. Obviously this isn't your job and I'm sure you're busy but I figured might catch you not at work with the upcoming holidays. Either way, hope all is well.

Also, might I suggest putting a github "Sponsor" button on the repo or similar, e.g. paetron, somewhere? Certainly this repo and the book would get at least a couple people to donate, I know I would. Finally just wanted to say that I'm getting familiar with this package and I'm planning to make some contributions to the package, e.g. unit testing which I hope will help. Thanks for making this package and the book.

catid commented 11 months ago

Yeah it sucks that the pip package is from 5 years ago and has a ton of bugs. Was using that for a prototype and only realized it was out of date while writing unit tests for the C++ version and saw the calculations were different.

kopytjuk commented 7 months ago

@rlabbe your library is amazing and used across academia and industry (due to it simplicity and the explanations), it would be great if you could assign some "successor" maintainers which could review/merge PRs or deal with issues ...