Ray¶
Distributed platform for tasks and actors with ML features built on top of its core.
Logo |
|
|---|---|
Website |
|
Repository |
|
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 |
6 years 10 months |
Backers |
AnyScale (Commercial Product By), UC Berkeley RISE Lab (Creator) |
Lastest News (2022-11-08) |
Ray-2.1.0 Ray AI Runtime (AIR): Better support for Image-based workloads; Ability to read TFRecord input; Ray Serve: Add support for … more |
Size score (1 to 10, higher is better) |
9.0 |
Trend score (1 to 10, higher is better) |
8.75 |
Education Resources¶
URL |
Resource Type |
Description |
|---|---|---|
Documentation |
Official project documentation. |
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
Statistic |
Lifetime |
Last 12 Months |
|---|---|---|
Commits |
95,925 |
29,447 |
Lines committed |
24,642,253 |
9,291,336 |
Unique committers |
816 |
284 |
Core committers |
28 |
26 |
Similar Projects¶
Project |
Size Score |
Trend Score |
Byline |
|---|---|---|---|
6.75 |
4.75 |
Parallel computing with task scheduling. |
|
6.0 |
6.25 |
HPCC Systems (High Performance Computing Cluster) is an open source, massive parallel-processing computing platform for big data processing and analytics. |
|
9.0 |
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. |
|
5.0 |
7.5 |
Speed up your Pandas workflows by changing a single line of code |
|
9.25 |
4.5 |
A unified analytics engine for large-scale data processing. |