Aeon Time Series Machine Learning

About

Aeon is a powerful scikit-learn compatible toolkit designed specifically for temporal data analysis and sequential pattern recognition. It offers a broad spectrum of state-of-the-art algorithms for tasks ranging from forecasting future values and identifying anomalies to segmenting sequences and clustering similar patterns. Whether you are working with univariate or multivariate time series, Aeon simplifies complex machine learning workflows with specialized distance metrics, feature extraction tools, and deep learning architectures tailored for temporal observations.

Key Features

• Specialized temporal distance metrics like Dynamic Time Warping (DTW)
• 2,066 GitHub stars
• State-of-the-art algorithms for time series classification and regression
• Automated feature extraction and preprocessing for temporal data sequences
• Scikit-learn compatible APIs for seamless integration into standard ML pipelines
• Advanced anomaly detection and motif discovery using matrix profile techniques

Use Cases

• Predicting future values in financial, weather, or sensor data streams
• Identifying unusual patterns or outliers in industrial equipment logs
• Categorizing temporal behaviors in healthcare signals like ECG or EEG