Ray VS pymarl

Compare Ray vs pymarl and see what are their differences.


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. (by ray-project)


Python Multi-Agent Reinforcement Learning framework (by oxwhirl)
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Ray pymarl
24 2
18,352 978
2.4% 5.4%
10.0 1.3
7 days ago about 1 month ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of Ray. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-08.


Posts with mentions or reviews of pymarl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-15.

What are some alternatives?

When comparing Ray and pymarl you can also consider the following projects:

Faust - Python Stream Processing

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

gevent - Coroutine-based concurrency library for Python

SCOOP (Scalable COncurrent Operations in Python) - SCOOP (Scalable COncurrent Operations in Python)

Thespian Actor Library - Python Actor concurrency library

stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

optuna - A hyperparameter optimization framework

pipelines - An experimental programming language for data flow

Wallaroo - Distributed Stream Processing

Tomorrow - Magic decorator syntax for asynchronous code in Python

maddpg - Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

eventlet - Concurrent networking library for Python