{"library":"tsfeatures","type":"library","category":null,"description":"Calculates various features from time series data, including autocorrelation, entropy, seasonality, stationarity, and trend-based metrics. Designed for time series classification and preprocessing. Current stable version is 0.4.5. Release cadence is irregular based on fixes and feature additions.","language":"python","status":"active","version":"0.4.5","tags":["time-series","feature-engineering","feature-extraction","entropy","seasonality"],"last_verified":"Fri May 01","install":[{"cmd":"pip install tsfeatures","imports":["from tsfeatures import Tsfeatures","from tsfeatures import Tsfeatures; tf = Tsfeatures(); result = tf.calculate_features(df)"]}],"homepage":null,"github":"https://github.com/Nixtla/tsfeatures","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tsfeatures/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}