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ray-project/kuberay

A toolkit to run Ray applications on Kubernetes

Go ◇ apache Apache-2.0
★2.7KSTARS
⑂873FORKS
!789ISSUES
🏆#1,603GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for ray-project/kuberay
CSV

Momentum

+68

STARS · LAST 30 DAYS

2

PER DAY

#203

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+14+68+180
Per day222
Forks gained+4+17+44

kuberay gained 68 stars in the last 30 days, about 2 a day, and now has 2.7K. It is about 6 years old and has averaged roughly 451 stars a year. It ranks #203 among Go repositories and #1,603 across all languages on GitHubRepo.

Trending Record

kuberay has maintained a continuous presence across global trending indexes, peaking at #1216. Below is the 30-day activity profile:

💡 Overview

kuberay is an open-source project written in Go: A toolkit to run Ray applications on Kubernetes.

Engineered for speed, consistency, and developer ease, it solves common hurdles in apache, deep-learning, kubernetes. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Go for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ go install github.com/ray-project/kuberay@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

kuberay coordinates its core functionality through a modular Go pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed kuberay into Go backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install kuberay using your package manager: `go install github.com/ray-project/kuberay@latest`

2

Initialize your project workspace or configuration file for kuberay.

3

Import kuberay into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `kuberay --help` to verify successful setup.

👍 Strengths

Active community backing with 2,706 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Go for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Go and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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G
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K
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👥 Who Should Use This

Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

ray-project/kuberay is currently ranked #1,603 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,598 Pathoschild/SMAPI C# ★ 2.7K Compare ↗
#1,599 sheeki03/tirith Rust ★ 2.7K Compare ↗
#1,600 marketcalls/openalgo Python ★ 2.7K Compare ↗
#1,601 pvolok/dekit Rust ★ 2.7K Compare ↗
#1,602 icereed/paperless-gpt Go ★ 2.7K Compare ↗
#1,603 ray-project/kuberay This Project Go ★ 2.7K
#1,603 szTheory/exifcleaner TypeScript ★ 2.7K Compare ↗
#1,603 medplum/medplum TypeScript ★ 2.7K Compare ↗
#1,606 openai/openai-dotnet C# ★ 2.7K Compare ↗
#1,607 kanwei/algorithms Ruby ★ 2.7K Compare ↗
#1,608 microsoft/litebox Rust ★ 2.7K Compare ↗

Frequently Asked Questions

What does kuberay do? +

A toolkit to run Ray applications on Kubernetes

What language is kuberay written in? +

The primary language is Go. Topics include: apache, deep-learning, kubernetes, machine-learning, ray.

Is kuberay actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 789 open issues being tracked.

How many stars does kuberay have? +

kuberay has 2,707 stars and 873 forks on GitHub.

How does kuberay rank among GitHub repositories? +

With 2,707 stars, ray-project/kuberay is ranked #1,603 globally across all repositories tracked on GitHubRepo and #203 among Go projects.

What license is kuberay distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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