Ray VS Nim

Compare Ray vs Nim 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)

Nim

Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority). (by nim-lang)
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Ray Nim
43 348
31,414 16,133
2.5% 0.8%
10.0 9.9
4 days ago 1 day ago
Python Nim
Apache License 2.0 GNU General Public License v3.0 or later
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.

Nim

Posts with mentions or reviews of Nim. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-08.

What are some alternatives?

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

optuna - A hyperparameter optimization framework

zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.

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

go - The Go programming language

Faust - Python Stream Processing

Odin - Odin Programming Language

gevent - Coroutine-based concurrency library for Python

rust - Empowering everyone to build reliable and efficient software.

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

crystal - The Crystal Programming Language

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

v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io