Ray VS Iron python

Compare Ray vs Iron python and see what are their differences.

Ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. (by ray-project)

Iron python

Implementation of the Python programming language for .NET Framework; built on top of the Dynamic Language Runtime (DLR). (by IronLanguages)
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Ray Iron python
43 34
31,179 1,062
1.8% 0.1%
10.0 3.7
1 day ago 3 months 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.

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 2024-01-05.

Iron python

Posts with mentions or reviews of Iron python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-09.

What are some alternatives?

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

optuna - A hyperparameter optimization framework

PythonNet - Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.

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

PeachPie - PeachPie - the PHP compiler and runtime for .NET and .NET Core

Faust - Python Stream Processing

Mond - A scripting language for .NET Core

gevent - Coroutine-based concurrency library for Python

P - The P programming language.

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

Hybridizer - Examples of C# code compiled to GPU by hybridizer

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

Amplifier.NET - Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.