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 5 months

Backers

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

Lastest News (2021-06-08)

Ray 1.4 is out! Highlights include: Ray Serve has a new deployment centric API, Ray now has support for namespaces (Docs: … more

Size score (1 to 10, higher is better)

8.25

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 June 30, 2021.

Statistic

Lifetime

Last 12 Months

Commits

43,717

38,707

Lines committed

10,814,732

9,284,066

Unique committers

548

269

Core committers

27

27

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

Similar Projects

Project

Size Score

Trend Score

Byline

Analytics Zoo

5.25

8.25

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Dask

6.25

6.75

Parallel computing with task scheduling.

HPCC

5.5

7.25

HPCC Systems (High Performance Computing Cluster) is an open source, massive parallel-processing computing platform for big data processing and analytics.

Hadoop

8.5

8.25

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models.

Spark

9.5

7.25

A unified analytics engine for large-scale data processing.