Topics / #anomaly-detection
Anomaly-detection projects on GitHub
Detecting outliers and anomalous patterns in data using statistics or ML
As of , the most-starred Anomaly-detection projects on GitHub are netdata (81K stars), applied-ml (30.6K stars) and TDengine (25.2K stars). GitHub.Locker tracks 11 Anomaly-detection repositories with 185.4K stars combined. The fastest-growing on October 16 was Unsupervised-Log-Anomaly-Detection-Microservices, with +48 stars in a day.
Hot right now
Most stars gained in a day · Oct 16
+48Unsupervised-Log-Anomaly-Detection-Microservices
chuansirrr/Unsupervised-Log-Anomaly-Detection-Microservices · ★ 934It is a research-grade, unsupervised anomaly detection framework for microservice logs that combines Transformer, LSTM, and statistical features with graph-based modeling and ensemble scoring to flag unusual log behavior without labeled data.
+15netdata
netdata/netdata · ★ 81KNetdata is an open-source, real-time infrastructure monitoring platform that collects per-second metrics, visualizes them, and detects anomalies with machine learning.
+8applied-ml
eugeneyan/applied-ml · ★ 30.6Kapplied-ml is a curated collection of papers, articles, and tech blogs where companies like Airbnb, Uber, Netflix, Google, and DoorDash share how they run data science and machine learning in production.
+5pyod
yzhao062/pyod · ★ 10KPyOD is a Python library for anomaly detection that bundles over 60 detection algorithms into one consistent API, covering tabular, time series, graph, text, image, and audio data.
The all-time top
11 projects · by stars
- 81K#1 · netdata/netdata
netdata
Netdata is an open-source, real-time infrastructure monitoring platform that collects per-second metrics, visualizes them, and detects anomalies with machine learning.
- 30.6K#2 · eugeneyan/applied-ml
applied-ml
applied-ml is a curated collection of papers, articles, and tech blogs where companies like Airbnb, Uber, Netflix, Google, and DoorDash share how they run data science and machine learning in production.
- 25.2K
#3 · taosdata/TDengineTDengine
TDengine is an open-source, high-performance, cloud-native, AI-powered time-series database built for IoT, Connected Cars, and Industrial IoT workloads, handling TB-to-PB scale data from billions of sensors.
- 4
Time-Series-Library
13Kthuml/Time-Series-Library · PythonTSLib is an open-source Python library for deep learning researchers working on time series: a clean codebase to evaluate advanced deep time series models or develop your own, with around 13,000 GitHub stars.
- 5
cleanlab
11.7Kcleanlab/cleanlab · PythonCleanlab is an open-source Python library that automatically finds issues in ML datasets — label errors, outliers, duplicates — using your existing models, so that fixing the data trains better models.
- 6
sktime
10.1Ksktime/sktime · Pythonsktime is a Python library for machine learning with time series: one unified interface for forecasting, classification, clustering, and anomaly or changepoint detection.
- 7
pyod
10Kyzhao062/pyod · PythonPyOD is a Python library for anomaly detection that bundles over 60 detection algorithms into one consistent API, covering tabular, time series, graph, text, image, and audio data.
- 8
anti-mage
2.1KN4darae/anti-mage · GoAnti-Mage is a free, open-source Go project that detects anti-detect browsers and spoofed browser profiles by checking whether a browser's own reported surfaces (fonts, timezone, WebGL, screen geometry, audio, etc.) are internally consistent, instead of matching known-tool signatures.
- 9
Unsupervised-Log-Anomaly-Detection-Microservices
934chuansirrr/Unsupervised-Log-Anomaly-Detection-Microservices · PythonIt is a research-grade, unsupervised anomaly detection framework for microservice logs that combines Transformer, LSTM, and statistical features with graph-based modeling and ensemble scoring to flag unusual log behavior without labeled data.
- 10
elosys
458YuriRDev/elosys · TypeScriptElosys builds a consolidated database of Brazilian political candidates (2014-2026) from official government sources, cross-referenced by CPF/CNPJ, to investigate relationships between politicians and surface indicia of suspicious patterns like circular donations, shell companies, and wealth incompatible with declared income.
- 11
privacy-preserving-control-plane
425gbenletoluwase/privacy-preserving-control-plane · JavaA Java control plane that bundles four coupled mechanisms for production ML pipelines: forecast-driven autoscaling, zero-shot PII redaction at the point of processing, governed model promotion, and drift/anomaly detection.
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