Tools

Forecasting platforms & libraries

7 tools compared: how each is priced, where it runs, and what to consider instead.

Tool	Pricing model	Free tier	Open source
AutoGluon Open-source AutoML library from AWS that automates model selection and ensembling, including a time-series forecasting module.	Open source + paid	Yes	Yes
Darts Open-source Python library offering one unified API across dozens of classical, ML and deep-learning forecasting models.	Open source + paid	Yes	Yes
GluonTS Open-source Python toolkit from AWS for building and evaluating probabilistic deep-learning forecasting models.	Open source + paid	Yes	Yes
Nixtla Open-source statistical/ML forecasting libraries plus TimeGPT, a hosted foundation model for time series.	Free tier + paid	Yes	Yes
Prophet Open-source forecasting library designed to be easy to use on business time series with holidays and seasonality.	Open source + paid	Yes	Yes
PyTorch Forecasting Open-source deep-learning forecasting library built on PyTorch and PyTorch Lightning for panel/multi-series data.	Open source + paid	Yes	Yes
sktime Open-source Python toolkit that extends scikit-learn conventions to forecasting, classification and clustering of time series.	Open source + paid	Yes	Yes

In the index now