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Outlier Detection Python Packages

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

2.7M 10K 1K
cerlymarco
tsmoothie

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

102K 772 105
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.

62K 11K 893
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].

52K 330 37
JustGlowing
minisom

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

44K 2K 444
yzhao062
suod

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

15K 395 46
dvgodoy
handyspark

HandySpark - bringing pandas-like capabilities to Spark dataframes

12K 200 27
abimael10
anomaly-grid-py

Deviation detection using variable-order Markov-chains in finite alphabet sequences

9K 1 0
KulikDM
pythresh

Outlier Detection Thresholding

8K 137 4
DHI
tsod

Anomaly Detection for time series data

7K 189 19
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.

7K 2K 87
cleanlab
cleanlab-studio

Client interface for all things Cleanlab Studio

4K 32 10
aria-ml
dataeval-plots

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

4K 17 6
aria-ml
dataeval

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

3K 17 6
pygod-team
pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

3K 1K 139
david-cortes
isotree

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

3K 229 40
gagolews
quitefastmst

quitefastmst: Euclidean and Mutual Reachability Minimum Spanning Trees

3K 1 0
Minqi824
adbench

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

3K 1K 151
raamana
visualqc

Assistive tool for the quality control of neuroimaging data

3K 76 14
linkedin
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.

2K 256 54
numaproj
numalogic

Collection of operational Machine Learning models and tools.

2K 175 31
OliverHennhoefer
nonconform

Conformal Anomaly Detection & Change-Point Detection

2K 57 7
edadaltocg
detectors

Python package to accelerate research on generalized out-of-distribution (OOD) detection.

2K 15 1
gagolews
deadwood

Deadwood: Outlier Detection via Pruning Mutual Reachability Minimum Spanning Trees

2K 1 0
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