Description
Time-series datasets can be clustered, classified, and compared with algorithms built for temporal structure. This Python library helps researchers and data scientists model sequences such as sensor readings, signals, or business metrics.
It is used in Python notebooks and scripts rather than as a standalone app. Results depend on data quality and model choices; do not treat predictions as authoritative without validation.