Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Fast and Accurate ML in 3 Lines of Code

An open source python library for automated feature engineering

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

💫 Industrial-strength Natural Language Processing (NLP) in Python

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

🧙 Build, run, and manage data pipelines for integrating and transforming data.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Deep Learning for humans

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Open standard for machine learning interoperability

Machine Learning Systems

A hyperparameter optimization framework

Low-code framework for building custom LLMs, neural networks, and other AI models

🐍 Geometric Computer Vision Library for Spatial AI

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.