GitHub topic

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
Repository	Total stars	Today	7 days	30 days
yzhao062/pyod	10.1K	+4	+8	+45
unit8co/darts	9.6K	+2	+6	+39
zhongyu09/openchatbi	672	+1	+3	+15
GACWR/OpenUBA	524	+1	+2	+6
sktime/sktime	10.1K	+0	+5	+29

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.

unit8co/darts

A python library for user-friendly forecasting and anomaly detection on time series.

★ 9.6K+2 todayPython

machine-learning deep-learning

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OpenChatBI is an intelligent chat-based BI tool powered by large language models, designed to help users query, analyze, and visualize data through natural language conversations. It uses LangGraph and LangChain to build chat agent and workflows that support natural language to SQL conversion and data analysis.

★ 672+1 todayPython

llm ai

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GACWR/OpenUBA

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [BETA]

sktime/sktime

A unified framework for machine learning with time series

★ 10.1K+0 todayPython

ai machine-learning

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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 🚀.

★ 4.0K+0 todayJupyter Notebook

llm agent

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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

★ 2.1K+0 todayPython