Search Packages

pyod

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

alibi-detect

Algorithms for outlier, adversarial and drift detection

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

pymcr

pyMCR: Multivariate Curve Resolution for Python

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

phate

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

anomaly-grid-py

Python bindings of a Rust library for anomaly detection in finite alphabets using variable-order Markov chains.

xcsf

XCSF learning classifier system: rule-based evolutionary machine learning

voxelmorph

Unsupervised Learning for Image Registration

tfsim-nightly

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

hypertopos

Understand the structure of your data — without training machine learning models

classixclustering

Fast and explainable clustering in Python

spectralcluster

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

corextopic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

gap-stat

Python implementation of the gap statistic with optional Rust optimizations.

isolation-forest-onnx

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.

sealion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

numalogic

Collection of operational time series ML models and tools

orion-ml

Orion is a machine learning library built for unsupervised time series anomaly detection.

tensorflow-similarity

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

pysad

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

trcc

Density-peak clustering with path-density mutual-reachability merging. Sub-quadratic O(n log n) via a C++ pybind11/nanoflann kd-tree. 30× speedup at n=50k.