Imbalanced Data Python Packages

imbalanced-ensemble

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

smogn

Synthetic Minority Over-Sampling Technique for Regression

smote-variants

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

drift-or-shift

Label-shift vs concept-drift experiments and a lightweight logit-offset adapter for prevalence shift in binary classification.

pkboost

PKBoost: Adaptive GBDT for Concept Drift, Built from scratch in Rust, PKBoost manages changing data distributions in fraud detection with a fraud rate of 0.2%. It shows less than 2% degradation under drift. In comparison, XGBoost experiences a 31.8% drop and LightGBM a 42.5% drop

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

mgs-grf

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

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

scamvet-riskengine

Calibrated fraud and phishing scoring library with SHAP explanations and a versioned model registry. pip install scamvet-riskengine

cobraclassifier

COBRA for Classification tasks on Imbalanced Data

databalancer

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

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.

pkmap

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

synccfd

Synthetic credit card transaction & fraud data simulator for fraud-detection research

overnan

Oversampling for Imbalanced Learning with Missing Values

imbcobra

COBRA for Classification tasks on Imbalanced Data