#12 · Primary category: Time Series Machine Learning

aeon

aeon ai artificial-intelligence data-mining data-science deep-learning forecasting machine-learning neural-network scikit-learn time-series time-series-analysis time-series-anomaly-detection time-series-classification time-series-clustering time-series-regression time-series-segmentation

A toolkit for time series machine learning and deep learning

Project last updated:08/29/26

GitHub Stars

1.4K

Forks

322

Contributors

376

License

BSD-3-Clause

Why we included this project

aeon is a scikit-learn compatible Python library that covers just about every task you might run into with time-ordered data, from classification, regression, and clustering to forecasting, anomaly detection, and similarity search. Many of its algorithms are written and maintained by the researchers who originally published them, so you get faithful, current implementations of state-of-the-art methods rather than rough approximations. Teams working with sensor or wearable data, industrial monitoring, or financial and operational forecasting get a consistent API for comparing classical estimators against deep learning approaches in one place. The JMLR publication and extensive documentation also help when you need to justify your modeling choices to stakeholders.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category