{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/4"}],"enrichment":{"capability":"ADTK provides detectors, transformers, and aggregators for unsupervised and rule-based time series anomaly detection, with unified APIs and pipe classes to combine them into detection models.","skillfed_tags":["time-series","anomaly-detection","unsupervised-learning"],"use_cases":["Detect sudden spikes or drops in sensor data or system metrics without labeled training data.","Identify unusual patterns in financial time series using statistical rules.","Flag anomalous behavior in network traffic or application performance logs.","Combine multiple detection algorithms to improve sensitivity and reduce false positives in critical monitoring.","Visualize detected anomalies alongside raw time series data for manual review and validation."],"what_it_does":"ADTK is a Python library for detecting anomalies in time series data using unsupervised and rule-based methods. It provides a collection of detector algorithms, feature transformers, and ensemble aggregators that can be combined via pipe classes into complete anomaly detection models. The package also includes utilities for time series visualization and anomaly event processing.\n\nThe library is designed around the principle that no single anomaly detection algorithm works universally\u2014instead, it offers building blocks with unified APIs so you can select and combine the right detectors, transformers, and aggregators for your specific problem. It depends on numpy, pandas, scikit-learn, statsmodels, and matplotlib for its core functionality.","worth_installing":"Yes, if you need unsupervised time series anomaly detection and can accept dormant maintenance. The package is stable (Production/Stable status), has no known vulnerabilities, and low install friction. However, the last release was 2020-04-17; evaluate whether the detectors and dependencies meet your current needs before committing to it in new projects."},"id":"adtk","links":{"html":"https://skillfed.io/packages/adtk","md":"https://skillfed.io/packages/adtk.md","pypi":"https://pypi.org/project/adtk/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2020-04-17","license_spdx":null,"license_treatment":"copyleft","name":"adtk","python_support":"supports_current","summary":"A package for unsupervised time series anomaly detection"},"popularity":{"monthly_downloads":522859,"position":6199,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.6.2"}