Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Repository Index
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A unified framework for machine learning with time series
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
A python library for user-friendly forecasting and anomaly detection on time series.
A curated list of awesome anomaly detection resources
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
Anomaly Detection and Correlation library
Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.
WinDBG Anti-RootKit Extension
Desbordante 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.
Tidy anomaly detection
A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
基于 PatchCore 的工业异常检测项目，研究 layer2/layer3 分数融合、敏感性引导收缩与风险受控门控，并提供 Streamlit 工程化 Demo。
Suricata rules for network anomaly detection
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Lightweight Docker monitoring dashboard with anomaly detection & Telegram alerts. One-liner install, zero config.
Self-hosted 4D spatiotemporal AI platform built on PostgreSQL, PostGIS, TimescaleDB, H3 and pgvector, with anomaly & threat detection, NLQ interface and full observability.
Declarative data quality engine. Define checks in YAML, run anywhere.
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.