{"library":"adtk","type":"library","category":null,"description":"ADTK (Anomaly Detection Toolkit) is a Python package designed for unsupervised and rule-based time series anomaly detection. It provides a modular and intuitive API, offering a collection of common detectors, transformers, and aggregators that can be combined into custom anomaly detection pipelines. Currently at version 0.6.2, ADTK aims to help users build effective models even with limited labeled historical anomaly data, with regular updates and maintenance.","language":"python","status":"active","version":"0.6.2","tags":["anomaly detection","time series","unsupervised learning","data science","machine learning","python"],"last_verified":"Sat May 23","install":[{"cmd":"pip install adtk","imports":["from adtk.data import validate_series","from adtk.visualization import plot","from adtk.detector import SeasonalAD","from adtk.transformer import ClassicSeasonalDecomposition"]}],"homepage":null,"github":"https://github.com/arundo/adtk","docs":null,"changelog":null,"pypi":"https://pypi.org/project/adtk/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":19.7,"avg_import_s":0.9,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/adtk/compatibility"}}