AutoGluon facilitates the development of machine learning solutions on raw data through a few lines of code, harnessing state-of-the-art models without requiring expert knowledge.

FLAML is a high-speed library designed for Automated Machine Learning (AutoML) and tuning, streamlining the process of finding high-quality models with minimal computational resources.

PyCaret is an open-source, low-code machine learning (ML) library in Python designed to automate ML workflows, making it fast, explainable, and scalable. It aims to reduce coding time, allowing users to focus more on analysis by providing a simple and easy-to-learn interface.

The mljar-supervised package is an Automated Machine Learning (AutoML) tool designed to simplify working with tabular data in Python. Aimed at data scientists who want to save time, this package automatically preprocesses data, constructs ML models, and tunes hyperparameters to find the best model.