sysidentpy VS kira

Link para o site da documentação: SysIdentPy - SysIdentPy

I'm the only maintainer, but I keep including new features (some exclusives, like the algorithm I've developed in my thesis to create NARMAX models), improving the code and documentation, and fixing bugs.

benchmark codes: Welcome to SysIdentPy’s documentation! — NARMAX models

github: wilsonrljr/sysidentpy: A Python Package For System Identification Using NARMAX Models (github.com)

I built a package where you can build polynomial NARMAX models using the most used method for model selection of this class of models in the beckend. In addition, you can built NARX Neural Networks for forecasting problems (this is built on top of Pytorch) and you can use any model that have a fit/predict method (Catboost, any estimator from sklearn) in a NARX configuration to perform infinity-steps-ahead prediction. Maybe its worth a try. Here is the link of the package: GitHub - wilsonrljr/sysidentpy: A Python Package For System Identification Using NARMAX Models

I've had too experience with https://crates.io/crates/kira

Perhaps something like kira audio https://github.com/tesselode/kira

I'm working on Kira, a game audio library with some features that go overlooked by most game audio solutions.

speaking of audio! i'm working on a game audio library called kira, which some people seem interested in integrating into bevy. i'd love to have more contributors!

crates.io | docs

Kira GitHub repo

I think you should look into kira. It provides a lot of amazing features, more here