The Best Frouros Alternatives in 2026

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

nilearn provides Python tools for machine learning and neuroimaging analysis.

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

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

The lightly Python library supports self supervised learning on images.

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.

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

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

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.

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.

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

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

InterpretML fits interpretable models and explains results from black-box machine learning systems.

PyCaret provides a low code AutoML platform for Python, with a scikit-learn native engine and React control plane.

Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.

oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.