Binary Classification Python Packages

iguanas

Lightning-fast Python library for generating, evaluating, selecting, and optimizing interpretable rules.

lightautoml

Fast and customizable framework for automatic ML model creation (AutoML)

cutpointpy

ROC analysis and calculation of 'optimal' cut-points for binary classification tasks

binclass-tools

The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification problems.

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.

probcal

Universal post-hoc probability calibration for binary classifiers: methods, metrics, diagnostics, and auditable offsetting — numpy-only.

dualpredictor

Package offers simultaneous regression and binary classification especially for educational data

imlightgbm

LightGBM for handling label-imbalanced data with focal and weighted loss functions in binary and multiclass classification

bokbokbok

Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM

drift-or-shift

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

fasttrees

A fast and frugal tree classifier for sklearn

m3gp

An easy-to-use scikit-learn inspired implementation of the Multidimensional Multiclass Genetic Programming with Multidimensional Populations (M3GP) algorithm

traval

:chart_with_upwards_trend: Tools for applying automatic error detection schemes to timeseries

binsel

Feature selection for hard voting classifier and NN sparse weight initialization.

pat2vec

A comprehensive Python package for healthcare data engineering, designed to extract, transform, and feature engineer patient data from CogStack-based EHR datalakes. Enables patient-level aggregation, longitudinal time series construction (up to 25 years retrospective), flexiblefeature engineering (biochemistry, demographics, medications, diagnoses

dutchdraw

The Dutch Draw: Constructing a Universal Baseline for Binary Prediction Models

py-mcc-f1

MCC-F1 curve implementation in Python

oll

Online machine learning algorithms (based on OLL C++ library)

fca-lazy-clf

FCA lazy classifier

litemort

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

maxjoshua

Feature selection for hard voting classifier and NN sparse weight initialization.

artificial-detection

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

fast-dataset-cleaner

A simple tool for cleaning image datasets at a glance.

interactive-classification-metrics

Get an intuitive sense for the ROC curve and other binary classification metrics with interactive visualization.