typewritesomething VS sysidentpy

I like [0] but [1] also looks interesting

0: https://writer.bighugelabs.com/welcome

1: https://typewritesomething.com/

You can use one of the many typewriter simulators that exist in order to approximate this, but I suspect that isn't going to be close enough. Is After Effects an option for you?

obviously

However, there are typewriter simulators online, like this one, or this one. Perhaps you could just type it yourself whilst running a video capture app. There are many other typewriter simulators out there - surely one of them will do the job.

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