The Best Dedupe Alternatives in 2026

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

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

The lightly Python library supports self supervised learning on images.

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.

Spektral provides a Python framework for creating graph neural networks with Keras and TensorFlow.

NALP covers Natural Adversarial Language Processing through a dedicated library.

PyTorch Frame provides a library for applying deep learning models to tabular data.

Giskard provides open source evaluation and testing tools for LLM agents.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

neuropredict evaluates predictive performance using neuroimaging features.

Adala automates data labeling through an autonomous agent framework for organizing labeled datasets.

Cornac provides a framework for comparing multimodal recommender systems and recommendation algorithms.

Open-RAG-Eval evaluates retrieval-augmented generation without requiring golden answers.

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

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

Captum explains model behavior and supports interpretability analysis for PyTorch systems.

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

WhichLLM tests local language models on a user’s hardware and ranks them using recent benchmarks.

tsfresh automatically extracts relevant features from time series data.

Snorkel helps generate training data programmatically through weak supervision.