Ray VS optuna

Compare Ray vs optuna 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 optuna
24 16
18,352 5,614
2.4% 4.6%
10.0 9.9
6 days ago 1 day 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.

optuna

Posts with mentions or reviews of optuna. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-05.

What are some alternatives?

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

Faust - Python Stream Processing

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

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

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

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

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

pipelines - An experimental programming language for data flow

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Wallaroo - Distributed Stream Processing