Welcome to aeon

aeon is a scikit-learn compatible toolkit for time series tasks such as forecasting, classification and clustering.

  • Provides a broad library of time series algorithms, including the latest advances.

  • Efficient implementation of time series algorithms using numba.

  • Interfaces with other time series packages to provide a single framework for algorithm comparison.

GSoC 2024

aeon is participating in Google Summer of Code 2024 under the NumFOCUS umbrella. If you are interested in participating, please see our GSoC 2024 project page.

Feel free to ask questions on the dedicated GitHub discussion or our Slack channel. If you are interested in contributing, click on the “Contributing to aeon” link in the sidebar for a contribution guide.

Get started with time series forecasting.

Get started with time series classification.

Get started with time series extrinsic regression.

Get started with time series clustering.

Get started with time series transformations.

Get started with time series distances.

Segmentation

Similarity Search

Data structures and containers used in aeon.

How to benchmark algorithms with aeon.

aeon deep learning networks for time series.

Community Channels#

GitHub: github.com/aeon-toolkit/aeon

Slack: aeon slack

Twitter: twitter/aeon-toolkit

LinkedIn: linkedin/aeon-toolkit