{"library":"tsmoothie","type":"library","category":null,"description":"A Python library for timeseries smoothing and outlier detection in a vectorized way. It provides multiple smoothing techniques (e.g., Convolutional, Exponential, Lowess, Kalman, Spectral) and outlier detection methods. Current version is 1.0.5. Release cadence is intermittent.","language":"python","status":"active","version":"1.0.5","tags":["timeseries","smoothing","outlier-detection","forecasting","kalman-filter","lowess"],"last_verified":"Fri May 01","install":[{"cmd":"pip install tsmoothie","imports":["from tsmoothie.smoother import ConvolutionalSmoother","from tsmoothie.smoother import LowessSmoother","from tsmoothie.smoother import ExponentialSmoother","from tsmoothie.smoother import SpectralSmoother","from tsmoothie.smoother import DecomposeSmoother","from tsmoothie.smoother import KalmanSmoother","from tsmoothie.utils import WindowWrapper","from tsmoothie.datasets import load_dataset"]}],"homepage":null,"github":"https://github.com/cerlymarco/tsmoothie","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tsmoothie/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}