evalml VS FeatureHub

What are some alternatives?

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

cascade - Lightweight and modular MLOps library targeted at small teams or individuals

easyopt - zero-code hyperparameters optimization framework

Deep-Learning-Machine-Learning-Stock - Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders. [Moved to: https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock]

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

upgini - Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

SAP-HANA-AutoML - Python Automated Machine Learning library for tabular data.

Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Auto_ViML - Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

desbordante-core - Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.