Unsupervised Learning Python Packages

pyod

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.

mlxtend

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

minisom

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

alibi-detect

Algorithms for outlier, adversarial and drift detection

spectralcluster

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

scikit-clarans

Scikit-learn compatible CLARANS clustering

karateclub

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

pymcr

pyMCR: Multivariate Curve Resolution for Python

corextopic

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

phate

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

classixclustering

Fast and explainable clustering in Python

susi

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

xcsf

XCSF learning classifier system: rule-based online evolutionary machine learning

voxelmorph

Unsupervised Learning for Image Registration

betula-cluster

Memory-bounded clustering for large embeddings and tabular streams: BETULA cluster features in a Rust core, then k-means / GMM / Ward / spectral / Leiden / HDBSCAN on the compressed summary. Streaming partial_fit, scikit-learn API, PyO3, no LAPACK or SciPy at runtime.

tfsim-nightly

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

orion-ml

Unsupervised time series anomaly detection library

pysad

Streaming anomaly detection in Python: 16 online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.

tensorflow-similarity

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

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

claspy

ClaSPy: A Python package for time series segmentation.

gap-stat

Dynamically get the suggested clusters in the data for unsupervised learning.

rakun2

RaKUn 2.0 - A fast keyword detection algorithm