ADTK – new Python library for time series anomaly detection
A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
ADTK – new Python library for time series anomaly detection launched on November 17, 2019 with 67 votes, #618 of 3,203 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
ADTK is a Python library designed for detecting anomalies in time series data. It helps developers identify unusual patterns or outliers in temporal datasets, making it useful for monitoring systems, financial data, sensor readings, and other time-dependent information. The library provides automated anomaly detection capabilities, allowing users to analyze trends and pinpoint irregularities without manually reviewing data.
written from the facts on this page · September 2026
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