Ray

Distributed platform for tasks and actors with ML features built on top of its core.

Logo

../_images/ray-project_ray-small.png

Website

https://ray.io

Repository

https://github.com/ray-project/ray

Byline

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

License

Apache 2.0

Project age

5 years 4 months

Backers

AnyScale (Commercial Product By), UC Berkeley RISE Lab (Creator)

Lastest News (2021-04-22)

Release 1.3.0. We are now testing and publishing Ray’s scalability limits with each release, see: … more

Size score (1 to 10, higher is better)

8.0

Trend score (1 to 10, higher is better)

9.0

Education Resources

URL

Resource Type

Description

https://docs.ray.io/en/master/development.html

Documentation

Official project documentation.

Git Commit Statistics

Statistics computed using Git data through May 31, 2021.

Statistic

Lifetime

Last 12 Months

Commits

41,447

36,714

Lines committed

10,487,058

9,032,385

Unique committers

529

266

Core committers

28

26

../_images/ray-project_ray-monthly-commits.png

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