Sklearn Python Packages

mapie

A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

skpro

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

predikit

The missing bridge between your ML models and your AI agents.

crepes

Python package for conformal prediction

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

profanity-check

A fast, robust Python library to check for offensive language in strings.

emlearn

Machine Learning inference engine for Microcontrollers and Embedded devices

nirs4all

A library for Near Infrared Sprectroscopy prediction. NIRS ML. Rebuild of the Pinard package.

empulse

Value-driven and cost-sensitive analysis for scikit-learn

my-data-toolkit

Face the engineering of data preprocessing.

sklearn-pmml-model

A library to parse and convert PMML models into Scikit-learn estimators.

imbalanced-ensemble

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

onehot

One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.

sklearn-genetic-opt

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

sklearn-evaluation

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

neptune-sklearn

Experiment tracking for scikit-learn. 🧩 Log, organize, visualize and compare model metrics, parameters, dataset versions, and more.

neural-trees

sklearn-compatible PyTorch implementations of Soft Decision Trees, HMoE, and classifier comparison tests (5×2cv F-test). pip install neural-trees

openmodels

OpenModels is a flexible and extensible library for serializing and deserializing machine learning models. It's designed to support any serialization format through a plugin-based architecture, providing a safe and transparent solution for exporting and sharing predictive models.

bayesmark

Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

skompiler

A tool for compiling trained SKLearn models into other representations (such as SQL, Sympy or Excel formulas)

auto-ts

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

aub-htp

AUB's Heavy-Tails Package

cy

Python module to analyse CRISPR-based libraries

skada

Domain adaptation toolbox compatible with scikit-learn and pytorch