---
id: ray
version: "2.57.0"
license: Apache 2.0
license_treatment: permissive
maintenance: active
---

# ray — Ray provides a simple, universal API for building distributed applications.

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install ray
uv add ray
poetry add ray

## Description

.. image:: https://github.com/ray-project/ray/raw/master/doc/source/images/ray_header_logo.png

.. image:: https://readthedocs.org/projects/ray/badge/?version=master
    :target: http://docs.ray.io/en/master/?badge=master

.. image:: https://img.shields.io/badge/Ray-Join%20Slack-blue
    :target: https://www.ray.io/join-slack

.. image:: https://img.shields.io/badge/Discuss-Ask%20Questions-blue
    :target: https://discuss.ray.io/

.. image:: https://img.shields.io/twitter/follow/raydistributed.svg?style=social&logo=twitter
    :target: https://x.com/raydistributed

.. image::...

## AI interpretation — verify before relying

Ray is a distributed computing framework that scales Python applications from a single machine to clusters, providing abstractions for parallel tasks, stateful actors, and shared objects alongside ML libraries for data processing, training, hyperparameter tuning, and model serving.

Verdict: Ray is an actively maintained distributed computing framework with permissive Apache 2.0 licensing and no known vulnerabilities. Medium install friction is offset by broad platform support and established adoption. Suitable for scaling Python workloads from development to production, though cluster deployment adds operational complexity.

[View on SkillFed](https://skillfed.io/packages/ray) · [View on PyPI](https://pypi.org/project/ray/)