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eugr/spark-vllm-docker

Docker configuration for running VLLM on dual DGX Sparks

Python ◇ developer-tools MIT
★2.4KSTARS
⑂414FORKS
!179ISSUES
🏆#3,478GLOBAL RANK
🔥13DAYS TRENDING
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Momentum

+59

STARS · LAST 30 DAYS

2

PER DAY

#489

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+59+180
Per day122
Forks gained+0+8+21

spark-vllm-docker gained 59 stars in the last 30 days, about 2 a day, and now has 2.4K. It is about 1 year old and has averaged roughly 2.4K stars a year. It ranks #489 among Python repositories and #3,478 across all languages on GitHubRepo.

Trending Record

spark-vllm-docker has maintained a continuous presence across global trending indexes, peaking at #1109. Below is the 30-day activity profile:

💡 Overview

spark-vllm-docker is an open-source project written in Python: Docker configuration for running VLLM on dual DGX Sparks.

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 spark-vllm-docker

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

spark-vllm-docker 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 spark-vllm-docker 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 MIT license.

🚀 Getting Started

1

Install spark-vllm-docker using your package manager: `pip install spark-vllm-docker`

2

Initialize your project workspace or configuration file for spark-vllm-docker.

3

Import spark-vllm-docker into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `spark-vllm-docker --help` to verify successful setup.

👍 Strengths

Active community backing with 2,337 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

eugr/spark-vllm-docker is currently ranked #3,478 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does spark-vllm-docker do? +

Docker configuration for running VLLM on dual DGX Sparks

What language is spark-vllm-docker written in? +

The primary language is Python. Topics include: software.

Is spark-vllm-docker actively maintained? +

Yes, the last recorded push was on Oct 6, 2026 with 179 open issues being tracked.

How many stars does spark-vllm-docker have? +

spark-vllm-docker has 2,354 stars and 414 forks on GitHub.

How does spark-vllm-docker rank among GitHub repositories? +

With 2,354 stars, eugr/spark-vllm-docker is ranked #3,478 globally across all repositories tracked on GitHubRepo and #489 among Python projects.

What license is spark-vllm-docker distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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