summarizer VS sysidentpy

https://github.com/PhantomInsights/summarizer y https://github.com/PhantomInsights/tweet-transcriber

annnnnnd I can't find any comments it has made now. It's a bot on reddit that reads linked articles and generates a summary. It doesn't do what you're doing though, so it won't be useful anyways. Here is a bot I found, if you're feeling adventurous and want to read python source code that has nothing to do with what you're doing haha https://github.com/PhantomInsights/summarizer

Universal Web Scraper that summarizes news articles.

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