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Repositories in this selection 19 · UTC 2026-11-05
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1—Ccleanlab / cleanlabCleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.PythonApache-2.0 · PermissiveInsufficient rank history11,728937——2026-01-13
2—Ssktime / sktimeA unified framework for machine learning with time seriesPythonBSD-3-Clause · PermissiveInsufficient rank history10,0902,490——2026-11-02
3—Yyzhao062 / pyodA 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.PythonBSD-2-Clause · PermissiveInsufficient rank history10,0741,520——2026-10-28
4—Ppycaret / pycaretOpen-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.PythonNOASSERTION · Restricted / unknownInsufficient rank history9,8591,839——2026-07-23
5—Uunit8co / dartsA python library for user-friendly forecasting and anomaly detection on time series.PythonApache-2.0 · PermissiveInsufficient rank history9,5741,074——2026-10-30
6—Yyzhao062 / anomaly-detection-resourcesAnomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!PythonAGPL-3.0 · Share derivative sourceInsufficient rank history9,4381,800——2026-03-02
7—Oopen-edge-platform / anomalibAn anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.PythonApache-2.0 · PermissiveInsufficient rank history6,3591,023——2026-11-03
8—Sstumpy-dev / stumpySTUMPY is a powerful and scalable Python library for modern time series analysisPythonNOASSERTION · Restricted / unknownInsufficient rank history4,169374——2026-10-16
9—NNixtla / nixtlaAuthor description: 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 🚀.Jupyter NotebookNOASSERTION · Restricted / unknownInsufficient rank history4,040342——2026-11-02
10—MM-3LAB / awesome-industrial-anomaly-detectionPaper list and datasets for industrial image anomaly/defect detection (updating). Industrial anomaly/defect detection paper and dataset retrieval library (continuously updated).UnknownUnknown · Restricted / unknownInsufficient rank history3,850345——2026-10-23
11—Rrob-med / awesome-TS-anomaly-detectionList of tools & datasets for anomaly detection on time-series data.UnknownUnknown · Restricted / unknownInsufficient rank history3,166463——2024-10-21
12—WWenjieDu / PyPOTSA 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 valuesPythonBSD-3-Clause · PermissiveInsufficient rank history2,091194——2026-10-31
13—Llogpai / logparserA machine learning toolkit for log parsing [ICSE'19, DSN'16]PythonNOASSERTION · Restricted / unknownInsufficient rank history2,000577——2025-06-10
14—Ssafe-graph / graph-fraud-detection-papersA curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resourcesUnknownUnknown · Restricted / unknownInsufficient rank history1,900300——2026-09-13
15—MMinqi824 / ADBenchOfficial Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.PythonBSD-2-Clause · PermissiveInsufficient rank history1,032152——2026-01-08
16—DDesbordante / desbordante-coreDesbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.C++AGPL-3.0 · Share derivative sourceInsufficient rank history517109——2026-11-02
17—Hhelixmap / sigwoodLocal-first threat hunting for the logs you already have: Zeek, Pi-hole, syslog or the systemd journal, CloudTrail. Every run names the technique behind each detector. No agent, no daemon, no black box - between grep and a SIEM.PythonMIT · PermissiveInsufficient rank history34514——2026-10-29
18—GGitiHubi / deepAIDetection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.Jupyter NotebookGPL-3.0 · Share derivative sourceInsufficient rank history21188——2019-08-07
19—Ttravisbgreen / hunting-rulesSuricata rules for network anomaly detectionUnknownGPL-3.0 · Share derivative sourceInsufficient rank history18443——2026-05-07
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