// Automate workflows
rayray-2.59.0
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Open source Maintained For developers
IN ONE PARAGRAPH
ray is ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Good for: Developers and teams who want to automate workflows.
01How to start
- 1Read the official quick-start (link above).
- 2Install from the official package registry:
pip install ray - 3Try it on a small example before wiring it into a project.
02Alternatives & comparison
Compare side by side → airflow Apache Airflow - A platform to programmatically author, schedule, and monitor workflows ★ 47k skypilot The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster. ★ 11k prefect Prefect is a workflow orchestration framework for building resilient data pipelines in Python. ★ 24k dagster An orchestration platform for the development, production, and observation of data assets. ★ 16k langflow Langflow is a powerful tool for building and deploying AI-powered agents and workflows. ★ 156k
Versions, why it is listed, for AI to read
Recent releases
- ray-2.59.0 2026-10-02
- ray-2.58.0 2026-08-23
- ray-2.57.0 2026-08-11
- ray-2.56.1 2026-07-17
- ray-2.56.0 2026-06-29
For AI agents
- Interfaces：SDK
- Machine-readable record：/api/v1/software/ray.json · llms.txt
- Added 2026-10-10 · updated 2026-10-22