time-series-machine-learning/tsml-py
A toolkit for time series machine learning algorithms that don't fit in aeon. Use aeon instead if you can!
This toolkit provides a sandbox for experimenting with new and in-development machine learning algorithms specifically designed for time series data. It helps data scientists and researchers test out novel approaches for tasks like forecasting or anomaly detection. You input your time series datasets and apply these experimental algorithms to see their performance and potential.
9 stars and 3,841 monthly downloads. Used by 1 other package. Available on PyPI.
Use this if you are a data scientist or researcher looking to explore cutting-edge, experimental, or specialized time series machine learning algorithms not yet available in more stable libraries.
Not ideal if you need a robust, production-ready, or extensively tested time series machine learning solution; in those cases, you should use 'aeon' instead.
Stars
9
Forks
2
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 24, 2026
Monthly downloads
3,841
Commits (30d)
0
Dependencies
7
Reverse dependents
1
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