The Best ELI5 Alternatives in 2026

A Python package to assess and improve fairness of machine learning models.

nilearn provides Python tools for machine learning and neuroimaging analysis.

An open source Python library for drift detection in machine learning systems.

Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.

modAL provides a modular active learning framework for Python built on top of scikit-learn.

The lightly Python library supports self supervised learning on images.

Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

LIME provides explanations for predictions made by machine learning classifiers.

The Featuretools Python library supports automated feature engineering and is published as open source.

pytorch tabular provides a unified framework for deep learning models on tabular data.

NALP covers Natural Adversarial Language Processing through a dedicated library.

neuropredict evaluates predictive performance using neuroimaging features.

AutoViz automatically creates visualizations for datasets of different sizes from a single line of code.

tsfresh automatically extracts relevant features from time series data.

Snorkel helps generate training data programmatically through weak supervision.

PySS3 supports interpretable text classification with SS3 and visualization tools for explainable AI.

A tool to help you configure, organize, log and reproduce experiments.

AIF360 provides fairness metrics and explanations for datasets and models, along with algorithms to mitigate bias.

Ultralytics supports detection, segmentation, image classification, pose estimation, and tracking across YOLO model versions.

Little Ball of Fur provides graph sampling extensions for NetworKit and NetworkX.

This Swift library builds machine learning predictions using linear regression.

MCGrad calibrates machine learning predictions across the full dataset and across segments defined by input features.

PredictionBuilder builds machine learning predictions using linear regression.

This TabGAN repository reviews research on applying GANs to generate tabular data.