{"library":"tslearn","type":"library","category":null,"description":"tslearn is a Python package providing a comprehensive machine learning toolkit specifically designed for the analysis of time-series data. It offers various algorithms for clustering, classification, and regression on time series, building upon the `scikit-learn`, `numpy`, and `scipy` libraries. The current version is 0.8.1, and the library is under active development and maintenance.","language":"python","status":"active","version":"0.8.1","tags":["time-series","machine-learning","clustering","classification","regression","dynamic-time-warping","preprocessing","python"],"last_verified":"Mon May 25","install":[{"cmd":"pip install tslearn","imports":["from tslearn.clustering import TimeSeriesKMeans","from tslearn.utils import to_time_series_dataset","from tslearn.metrics import SoftDTW","from tslearn.preprocessing import TimeSeriesScalerMeanVariance"]}],"homepage":"https://tslearn.readthedocs.io","github":"https://github.com/tslearn-team/tslearn","docs":"http://tslearn.readthedocs.io","changelog":"https://github.com/tslearn-team/tslearn/CHANGELOG.md","pypi":"https://pypi.org/project/tslearn/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":12.7,"avg_import_s":4.36,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/tslearn/compatibility"}}