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jtriley/StarCluster

StarCluster is an open source cluster-computing toolkit for Amazon's Elastic Compute Cloud (EC2).

Python ◇ developer-tools LGPL-3.0
★583STARS
⑂304FORKS
!246ISSUES
🏆#5,859GLOBAL RANK
🔥5DAYS TRENDING
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Momentum

+15

STARS · LAST 30 DAYS

1

PER DAY

#762

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+15+90
Per day111
Forks gained+2+6+15

StarCluster gained 15 stars in the last 30 days, about 1 a day, and now has 583. It is about 17 years old and has averaged roughly 34 stars a year. It ranks #762 among Python repositories and #5,859 across all languages on GitHubRepo.

Trending Record

StarCluster has maintained a continuous presence across global trending indexes, peaking at #4447. Below is the 30-day activity profile:

💡 Overview

StarCluster is an open-source project written in Python: StarCluster is an open source cluster-computing toolkit for Amazon's Elastic Compute Cloud (EC2).

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 Python 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
$ pip install StarCluster

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

StarCluster coordinates its core functionality through a modular Python 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 StarCluster into Python 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 LGPL-3.0 license.

🚀 Getting Started

1

Install StarCluster using your package manager: `pip install StarCluster`

2

Initialize your project workspace or configuration file for StarCluster.

3

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

4

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

👍 Strengths

Active community backing with 583 GitHub stars and verified adoption.
Permissive open-source distribution under the LGPL-3.0 license.
Built in Python 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 Python 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.

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

jtriley/StarCluster is currently ranked #5,859 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,854 joshuar/go-hass-agent Go ★ 584 Compare ↗
#5,854 dotnet/sign C# ★ 584 Compare ↗
#5,854 mikopbx/Core PHP ★ 584 Compare ↗
#5,854 discourse/prometheus_exporter Ruby ★ 584 Compare ↗
#5,854 opensearch-project/opensearch-k8s-operator Go ★ 584 Compare ↗
#5,859 jtriley/StarCluster This Project Python ★ 583
#5,859 plannotator/herdr-annotate Rust ★ 583 Compare ↗
#5,859 ancsemi/Haven JavaScript ★ 583 Compare ↗
#5,859 braintree/braintree_ios Swift ★ 583 Compare ↗
#5,859 TencentCloud/tencentcloud-sdk-java Java ★ 583 Compare ↗
#5,859 Automattic/wordpress-activitypub PHP ★ 583 Compare ↗

Frequently Asked Questions

What does StarCluster do? +

StarCluster is an open source cluster-computing toolkit for Amazon's Elastic Compute Cloud (EC2).

What language is StarCluster written in? +

The primary language is Python. Topics include: software.

Is StarCluster actively maintained? +

Yes, the last recorded push was on Mar 29, 2022 with 246 open issues being tracked.

How many stars does StarCluster have? +

StarCluster has 583 stars and 304 forks on GitHub.

How does StarCluster rank among GitHub repositories? +

With 583 stars, jtriley/StarCluster is ranked #5,859 globally across all repositories tracked on GitHubRepo and #762 among Python projects.

What license is StarCluster distributed under? +

The repository reports a LGPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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