The Best Rhesis Alternatives in 2026

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

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

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

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

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

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

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

agent-learning-kit provides an evaluation and simulation environment for AI-related workflows.

Hex combines data notebooks, applications, and AI tools so teams can ask questions and build with organizational data.

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

NALP covers Natural Adversarial Language Processing through a dedicated library.

neuropredict evaluates predictive performance using neuroimaging features.

Open-source DMS (data management system) for powering data hubs and data portals.

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

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

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

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.

nilearn provides Python tools for machine learning and neuroimaging analysis.

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.

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

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

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.