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Darts is a Python library for user-friendly forecasting and anomaly detection on time series. It contains a variety of models, from classics such as ARIMA to deep neural networks. The forecasting models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn.
Home page for this solution: https://unit8co.github.io/darts/
| Key | Value |
|---|---|
| Name | darts |
| Description | A python library for user-friendly forecasting and anomaly detection on time series. |
| License | Apache License 2.0 |
| Programming Language | Python |
| Created | 2018-09-13 |
| Last update | 2025-05-02 |
| Github Stars | 8560 |
| Project Home Page | https://unit8co.github.io/darts/ |
| Code Repository | https://github.com/unit8co/darts |
| OpenSSF Scorecard | Report |
Note:
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Created date is date that repro is created on Github.com.
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Last update: Last update of repository on Github found on {sub-ref}
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Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and don't indicate if the SBB is high-quality or very popular.
% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.