christopherowen/spark-ds41f
Reproducible Docker/vLLM deployment, tuning, and benchmarks for DeepSeek V4.1 Flash on a switchless three-node or four-node DGX Spark fabric.
⚡ Executive Summary & Quick Facts
Authoritative Sourcespark-ds41f is spark-ds41f is an open-source project written in Python: Reproducible Docker/vLLM deployment, tuning, and benchmarks for DeepSeek V4.1 Flash on a switchless three-node or four-node DGX Spark fabric..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), christopherowen/spark-ds41f has accumulated 189 GitHub stars and 40 forks. It is written in Python, licensed under Apache-2.0, and ranks #19,673 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
| Repository | christopherowen/spark-ds41f ↗ |
|---|---|
| Primary Category | deepseek |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 189 stars · ⑂ 40 forks · #19,673 globally |
| Maintenance | ● Active (Last commit: Nov 12, 2026) · 89 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, spark-ds41f is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (1 days ago). Supported by 189 stars and 40 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,612
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
spark-ds41f gained 10 stars in the last 30 days, about 1 a day, and now has 189. It is about 1 year old and has averaged roughly 189 stars a year. It ranks #2,612 among Python repositories and #19,673 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#19943
BEST RANK
Nov 12, 2026
FIRST APPEARANCE
Active
STATUS TODAY
spark-ds41f has maintained a continuous presence across global trending indexes, peaking at #19943. Below is the 30-day activity profile:
💡 Overview
spark-ds41f is an open-source project written in Python: Reproducible Docker/vLLM deployment, tuning, and benchmarks for DeepSeek V4.1 Flash on a switchless three-node or four-node DGX Spark fabric.
Engineered for speed, consistency, and developer ease, it solves common hurdles in deepseek, dgx-spark, distributed-inference. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install spark-ds41f⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
spark-ds41f 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with spark-ds41f.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install spark-ds41f using your package manager: `pip install spark-ds41f`
Initialize your project workspace or configuration file for spark-ds41f.
Import spark-ds41f into your codebase or invoke it directly from your terminal.
Execute your test suite or run `spark-ds41f --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
christopherowen/spark-ds41f is currently ranked #19,673 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #19,628 | Loopayeh/pkg-viewer | Python | ★ 190 | Compare ↗ |
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| #19,628 | zqc3117/Spotter | Python | ★ 190 | Compare ↗ |
| #19,673 | christopherowen/spark-ds41f This Project | Python | ★ 189 | |
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Frequently Asked Questions
What does spark-ds41f do? +
Reproducible Docker/vLLM deployment, tuning, and benchmarks for DeepSeek V4.1 Flash on a switchless three-node or four-node DGX Spark fabric.
Is spark-ds41f actively maintained in 2026? +
Yes, spark-ds41f is actively maintained. The latest code push was recorded on Nov 12, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 189 stars and 89 open issues.
What language is spark-ds41f written in? +
The primary language is Python. Topics include: deepseek, dgx-spark, distributed-inference, docker, roce.
How many stars does spark-ds41f have? +
spark-ds41f has 189 stars and 40 forks on GitHub.
How does spark-ds41f rank among GitHub repositories? +
With 189 stars, christopherowen/spark-ds41f is ranked #19,673 globally across all repositories tracked on GitHubRepo and #2,612 among Python projects.
What license is spark-ds41f distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
