Hi, creator of Darts here. I just wanted to add my two cents on top of what was already said:
* Darts is made in a way such that it's trivial to use simple models (ARIMA, linear regression, etc), which is definitely what you should start with first
* It incorporates most of the models from statsforecast too
* It allows you to use any sklearn-like model (or LGBM, Catboost, XGBoost), featurize the time axis for
* Works seamlessly if your time series are multi-dimensional, or if you have multiple time series (e.g. multiple observations of some signal)
* In the event where you want to try deep learning models, it also has you covered, works on GPUs etc.
Elegant_String4964 t1_it2ucfw wrote
Reply to [D] Python's library to multivariate time series forecasting: Sktime, modeltime, darts. by popcornn1
Hi, creator of Darts here. I just wanted to add my two cents on top of what was already said:
* Darts is made in a way such that it's trivial to use simple models (ARIMA, linear regression, etc), which is definitely what you should start with first
* It incorporates most of the models from statsforecast too
* It allows you to use any sklearn-like model (or LGBM, Catboost, XGBoost), featurize the time axis for
* Works seamlessly if your time series are multi-dimensional, or if you have multiple time series (e.g. multiple observations of some signal)
* In the event where you want to try deep learning models, it also has you covered, works on GPUs etc.
Hope this helps.