Project Summary
darts is a python library for easy manipulation and forecasting of time series. It contains a variety of models, from classics such as ARIMA to neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. The library also makes it easy to backtest models, and combine the predictions of several models and external regressors. Darts supports both univariate and multivariate time series and models.
In a Nutshell, darts...
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has a well established, mature codebase
maintained by a very large development team
with increasing Y-O-Y commits -
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took an estimated 29 years of effort (COCOMO model)
starting with its first commit in September, 2018
ending with its most recent commit 4 days ago
Quick Reference
Apache License 2.0
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These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
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30 Day SummarySep 25 2026 — Oct 25 2026
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12 Month SummaryOct 25 2025 — Oct 25 2026
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