Ray VS stable-baselines3

Compare Ray vs stable-baselines3 and see what are their differences.

Ray

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)
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Ray stable-baselines3
24 25
18,352 2,540
2.4% 8.9%
10.0 8.2
7 days ago 8 days ago
Python Python
Apache License 2.0 MIT License
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.

Ray

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.

stable-baselines3

Posts with mentions or reviews of stable-baselines3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-15.

What are some alternatives?

When comparing Ray and stable-baselines3 you can also consider the following projects:

Faust - Python Stream Processing

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

tianshou - An elegant PyTorch deep reinforcement learning library.

optuna - A hyperparameter optimization framework

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, Ape-X DQN, DDPG, TD3, SAC)