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DARTS – Unifying time series forecasting

September 21, 2022

Time series are everywhere in science and business, and the ability to forecast them accurately and efficiently can provide decisive advantages. Darts is an open-source Python library that provides a wide variety of forecasting models and tools under a single and user-friendly API. It emphasizes reducing the experiment cycle duration and improving the ease of using, comparing, and combining different models, from ARIMA to deep learning models.
This talk will give a tour of Darts and some of its main features, such as quick creation and comparison of forecasting models, backtesting, and ML-based models applied to time series forecasting. We will review a few toy examples and see how to address them in a few lines of code.