{"library":"tsfresh","type":"library","category":null,"description":"tsfresh extracts relevant characteristics from time series data, enabling automated feature engineering for machine learning tasks. It supports a wide range of feature calculators, parallel processing, and integrated feature selection. The current version is 0.21.1, and it typically releases new versions every few months, often including bug fixes, dependency updates, and occasionally breaking changes.","language":"python","status":"active","version":"0.21.1","tags":["time series","feature extraction","machine learning","data science","pandas"],"last_verified":"Mon May 25","install":[{"cmd":"pip install tsfresh","imports":["from tsfresh import extract_features","from tsfresh import select_features","from tsfresh.utilities.dataframe_functions import impute","from tsfresh.feature_extraction import MinimalFCParameters","from tsfresh.feature_extraction import EfficientFCParameters","from tsfresh.feature_extraction import ComprehensiveFCParameters"]},{"cmd":"pip install tsfresh[dask,matrix_profile,pywavelets]","imports":[]}],"homepage":"https://tsfresh.com","github":"https://github.com/blue-yonder/tsfresh","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tsfresh/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":23,"avg_import_s":9.09,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/tsfresh/compatibility"}}