ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
.. image:: https://github.com/ray-project/ray/raw/master/doc/source/images/rayheaderlogo.png .. image:: https://readthedocs.org/projects/ray/badge/?version=master .. image:: https://img.shields.io/badge/Ray-Join%20Slack-blue .. image:: https://img.shields.io/badge/Discuss-Ask%20Questions-blue .. image:: https://img.shields.io/twitter/follow/raydistributed.svg?style=social&logo=twitter .. image:: https://img.shields.io/badge/Getstartedforfree-3C8AE9?logo=data%3Aimage%2Fpng%3Bbase64%2CiVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8%2F9hAAAAAXNSR0IArs4c6QAAAERlWElmTU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAA6ABAAMAAAABAAEAAKACAAQAAAABAAAAEKADAAQAAAABAAAAEAAAAAA0VXHyAAABKElEQVQ4Ea2TvWoCQRRGnWCVWChIIlikC9hpJdikSbGgaONbpAoY8gKBdAGfwkfwKQypLQ1sEGyMYhN1Pd%2B6A8PqwBZeOHt%2FvsvMnd3ZXBRFPQjBZ9K6OY8ZxF%2B0IYw9PW3qz8aY6lk92bZ%2BVqSI3oC9T7%2FyCVnrF1ngj93us%2B540sf5BrCDfw9b6jJ5lx%2FyjtGKBBXc3cnqx0INN4ImbI%2Bl%2BPnI8zWfFEr4chLLrWHCp9OO9j19Kbc91HX0zzzBO8EbLK2Iv4ZvNO3is3h6jb%2BCwO0iL8AaWqB7ILPTxq3kDypqvBuYuwswqo6wgYJbT8XxBPZ8KS1TepkFdC79TAHHce%2F7LbVioi3wEfTpmeKtPRGEeoldSP%2FOeoEftpP4BRbgXrYZefsAI%2BP9JU7ImyEAAAAASUVORK5CYII%3D :target: https://www.anyscale.com/ray-on-anyscale?utmsource=github&utmmedium=rayreadme&utmcampaign=getstartedbadge 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 simplifying ML compute: .. image:: https://github.com/ray-project/ray/raw/master/doc/source/images/what-is-ray-padded.svg .. https://docs.google.com/drawings/d/1Pl8aCYOsZCo61cmp57c7Sja6HhIygGCvSZLiAuBuqo/edit Learn more about Ray…
Read the full README ↗ · Preview checked 2026-10-31T08:50:20.070Z
Inside the original README — Document outline
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Repository facts
- Owner
- ray-project
- Primary language
- Python
- Stars
- 44,174
- Forks
- 8,232
- Open issues + pull requests
- 3,711
- License
- Apache-2.0
- Archived
- No
- Default branch
- master
- Created
- 2016-10-25T19:38:30.000Z
- Last push
- 2026-11-01T07:38:02.000Z
Topics and intended use
Owner-supplied topics: data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search, large-language-models, llm, llm-inference, llm-serving, machine-learning, optimization, parallel, python, pytorch, ray, reinforcement-learning, rllib, serving, tensorflow
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-11-01T12:19:42.808Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related repositories
EbookFoundation/free-programming-books
donnemartin/system-design-primer