outlier-detection

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.

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.

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

List of tools & datasets for anomaly detection on time-series data.

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources