#56 of 100 · GitHub repository

ray

ray is a GitHub repository ranked #56 on the Most Starred LLM Repos on GitHub chart with 44,271 stars.

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

Change: +15 stars between recorded observations on 2026-11-11 and 2026-11-12.

Last verified · 2026-11-12T11:57:40.708Z

Reported license: Apache-2.0. Check the source license and terms for permissions, restrictions, and any costs.

Last commit

Metric source · method 1.0.0 · hash 4c97

View on GitHubBack to chart →

Recorded stars trend

30 dated observations · 2026-10-14 to 2026-11-12. Missing dates are not filled.

Metric definition: github:stars:all-time

Observed range: 44,026 – 44,271 stars

View dated observations
Date (UTC)stars
2026-10-1444,026
2026-10-1544,031
2026-10-1644,042
2026-10-1744,052
2026-10-1844,059
2026-10-1944,066
2026-10-2044,087
2026-10-2144,096
2026-10-2244,102
2026-10-2344,109
2026-10-2444,111
2026-10-2544,119
2026-10-2644,124
2026-10-2744,131
2026-10-2844,143
2026-10-2944,154
2026-10-3044,158
2026-10-3144,172
2026-11-0144,175
2026-11-0244,182
2026-11-0344,191
2026-11-0444,198
2026-11-0544,210
2026-11-0644,219
2026-11-0744,229
2026-11-0844,235
2026-11-0944,240
2026-11-1044,248
2026-11-1144,256
2026-11-1244,271

Quick answers

What is ray?
ray is a GitHub repository ranked #56 on the Most Starred LLM Repos on GitHub chart with 44,271 stars.
What license applies to ray?
Reported license: Apache-2.0. Check the source license and terms for permissions, restrictions, and any costs.
How is ray ranked?
This chart orders entries by stars, not quality or suitability. Nearby entries share a chart, but are not necessarily substitutes. Method 1.0.0; snapshot hash 4c97.