Unsupervised Learning Python 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)

anomaly-grid-py

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

phate

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

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.

numalogic

Collection of operational time series ML models and tools

sealion

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

adbench

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

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.

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.

pysad

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