Outliers Python Packages

pynomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

pca

pca: A Python Package for Principal Component Analysis.

outlier-utils

Utility library for detecting and removing outliers from normally distributed datasets using the Smirnov-Grubbs test.

deadwood

Deadwood: Outlier Detection via Pruning Mutual Reachability Minimum Spanning Trees

lumbermark

Lumbermark: Resistant Clustering via Chopping Up Mutual Reachability Minimum Spanning Trees

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.

stabilization-uplift

Stabilization of classification ML-models using synthetic data with outliers on Open Data. Metrics on PyPI: pip install stabilization-uplift. NeurIPS 2025 GenAI in Finance Workshop.

regressionizer

Python package with a class that allows pipeline-like specification and execution of regression workflows.

scouts

Single Cell Outlier Selector - quickly find outliers in your single-cell data

datamunger

python package for handling nan's and outliers

stattools-anannya

A lightweight Python statistics library providing descriptive statistics, percentiles, IQR, and outlier detection utilities.