Time Series Clustering and Classification
| Packages | Description | Downloads (pypi) |
|---|---|---|
| aeon | Actively maintained toolkit for time series classification, clustering, regression, similarity search, and benchmarking. | PyPI |
| Tslearn | Mature library for time series clustering, classification, and similarity learning with strong DTW support. | |
| Sktime | Unified framework that supports classification and clustering alongside forecasting and detection. | |
| DTW-Python | DTW-Python provides the implementation of Dynamic Time Warping-type (DTW) algorithms, which supports arbitrary local (e.g. symmetric, asymmetric, slope-limited) and global (windowing) constraints. | |
| Pyts | Pyts is a Python package for time series classification. It aims to make time series classification easily accessible by providing preprocessing and utility tools. |