A python library for user-friendly forecasting and anomaly detection on time series.

Recommended by
2
GitHub stars
9.6k
Licence
Apache-2.0
Language
Python
Last commit
30 Oct 2026

What people said

  • “I would recommend Darts in Python. It's easy to use (think fit/predict) and includes * Statistical models (ETS, (V)ARIMA(X), etc) * ML models (sklearn models, LGBM, etc) * Many recent deep learning models (N-BEATS, TFT, etc) * Seamlessly works on multi-dimensional series…”

  • “To be fair, Darts looks pretty good relative to forecast: I would generally prefer R for this kind of stuff as the experts generally write the code, but Darts seems OK and is well-tested, at the very least (haven't had a chance to use it in anger…”

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