The Best lightly Alternatives in 2026

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

nilearn provides Python tools for machine learning and neuroimaging analysis.

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

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

Python package which helps to debug machine learning classifiers and explain their predictions.

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

This repository implements YOLOv3 variants in PyTorch for real time object detection, training, validation, inference, and export.

This repository provides semantic segmentation models with more than 500 pretrained convolutional and transformer backbones.

Ultralytics YOLOv5 supports object detection, instance segmentation, classification, training, and export in PyTorch.

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.

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

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.

OpenPose detects body, face, hand, and foot keypoints for multiple people in real time.

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