{"library":"sktime","type":"library","category":null,"description":"sktime is a Python library for machine learning with time series. It provides a unified interface for various time series tasks, including forecasting, classification, regression, and transformation. It integrates seamlessly with `scikit-learn` and offers a modular architecture for building complex time series pipelines. The project is actively maintained with frequent minor and patch releases, typically every few weeks.","language":"python","status":"active","version":"0.40.1","tags":["time-series","machine-learning","forecasting","classification","regression","transformers","scikit-learn-compatible"],"install":[{"cmd":"pip install sktime","imports":["from sktime.forecasting.base import BaseForecaster","from sktime.forecasting.theta import ThetaForecaster","from sktime.forecasting.model_selection import temporal_train_test_split","from sktime.transformations.series.scaling import StandardScaler"]},{"cmd":"pip install sktime[all_extras]","imports":[]},{"cmd":"pip install sktime[forecasting]","imports":[]}],"homepage":"https://www.sktime.net","github":"https://github.com/sktime/sktime","docs":"https://www.sktime.net","changelog":"https://www.sktime.net/en/stable/changelog.html","pypi":"https://pypi.org/project/sktime/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":26.3,"avg_import_s":6.65,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/sktime/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}