Imbalanced Data Python Packages

smogn

Synthetic Minority Over-Sampling Technique for Regression

imbalanced-ensemble

[NeurIPS'25]🛠️Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

smote-variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

cobraclassifier

COBRA for Classification tasks on Imbalanced Data

self-paced-ensemble

[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

datascienv

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

pkboost

Gradient boosting that adapts to concept drift in imbalanced data

databalancer

Databalancer is the python library dedicated to balance the imbalanced text classification datasets before the model training in machine learning applications

pkmap

This dataset imbalance visualization toolkit will be the beginning of a fire-new branch in NILM studies. (the website is pending)

skoot

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

mgs-grf

MGS-GRF for imbalanced-mixed-tabular data (AISTATS 2026 and ECML-PKDD 2025)

overnan

Oversampling for Imbalanced Learning with Missing Values

imbcobra

COBRA for Classification tasks on Imbalanced Data