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anomaly-detection GitHub repositories

Explore 12 tracked GitHub repositories tagged anomaly-detection. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 8 stars since the previous daily snapshot.

Tracked repositories
12
Total stars
44,089
Stars gained · 7 days
+41
Stars gained · 30 days
+203

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Star activity for anomaly-detection repositories on this page
RepositoryTotal starsToday7 days30 days
sktime/sktime10.1K+0+5+29
yzhao062/pyod10.1K+4+8+45
unit8co/darts9.6K+2+6+39
Nixtla/nixtla4.0K+0+5+22
ailia-ai/ailia-models2.4K+0+1+8

Explore repositories

Showing 1–12 of 12 tracked repositories.

yzhao062/pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

Nixtla/nixtla

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

WenjieDu/PyPOTS

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

lzz19980125/awesome-time-series-segmentation-papers

This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.