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Outlier Detection Python Packages

Python packages with the GitHub topic outlier-detection. Sorted by monthly downloads, with stars and forks.
yzhao062
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.

2.7M 10K 2K
cerlymarco
tsmoothie

A python library for time-series smoothing and outlier detection in a vectorized way.

74K 769 105
cleanlab
cleanlab

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.

48K 12K 926
JustGlowing
minisom

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

48K 2K 446
vc1492a
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].

36K 330 37
gagolews
deadwood

Deadwood: Outlier Detection via Pruning Mutual Reachability Minimum Spanning Trees

15K 1 0
dvgodoy
handyspark

HandySpark - bringing pandas-like capabilities to Spark dataframes

11K 201 26
yzhao062
suod

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

10K 395 46
gagolews
quitefastmst

quitefastmst: Euclidean and Mutual Reachability Minimum Spanning Trees

10K 3 0
david-cortes
isotree

(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)

8K 231 40
aria-ml
dataeval

Python library for analyzing data quality and its impact on model performance across classification and object-detection tasks.

8K 19 6
gagolews
lumbermark

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

8K 0 0
KulikDM
pythresh

Outlier Detection Thresholding

6K 140 5
DHI
tsod

Anomaly Detection for time series data

5K 191 19
aria-ml
dataeval-plots

Python library for analyzing data quality and its impact on model performance across classification and object-detection tasks.

5K 19 6
visualdatabase
fastdup

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.

3K 2K 95
cleanlab
cleanlab-studio

Client interface to Cleanlab Studio

3K 32 10
holukas
diive

Time series processing library

2K 13 3
Silas-Asamoah
stormlog

GPU memory profiler for PyTorch, JAX & TensorFlow — real-time monitoring, leak detection, OOM flight recording, distributed analysis, and interactive TUI.

2K 17 3
selimfirat
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.

2K 295 45
OliverHennhoefer
nonconform

Conformal Anomaly Detection & Change-Point Detection

2K 58 8
smiryusupov
robustcov

Robust scatter geometry for anomaly detection, kernels, and ML workflows in Python.

1K 0 0
numaproj
numalogic

Collection of operational time series ML models and tools

1K 172 32
raamana
visualqc

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

1K 76 15
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