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hasso5703/alzeo

Alzeo is an open-source installer that turns an NVIDIA DGX Spark, or any GB10 machine (ASUS, Dell, HP, Lenovo, MSI, GIGABYTE, Acer), into a private AI server in one command: measured model lanes, OpenAI and Anthropic APIs, and a local cockpit.

Python ◇ ai-agents MIT
★256STARS
⑂23FORKS
!3ISSUES
🏆#17,207GLOBAL RANK
🔥22DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

alzeo is dgx-spark-qwen38 is an open-source project written in Python: Fastest measured Qwen3.8-27B config for DGX Spark (GB10): SGLang + NVFP4 + DFlash2, 71.4 tok/s greedy median, 1M context, deterministic boots. Flash-Next 176B on one box. One command, everything pinned, and a local cockpit to drive it..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), hasso5703/alzeo has accumulated 256 GitHub stars and 23 forks. It is written in Python, licensed under MIT, and ranks #17,207 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
Repository hasso5703/alzeo ↗
Primary Category ai agents
Language & Stack Python
Software License MIT
Community Traction ★ 256 stars · ⑂ 23 forks · #17,207 globally
Maintenance ● Active (Last commit: Nov 10, 2026) · 3 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+
✅
Is alzeo actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, alzeo is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (2 days ago). Supported by 256 stars and 23 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 10, 2026
2 days since last push
Issue Backlog
3 Open Issues
Healthy Issue Cadence
Community Backing
23 Forks
256 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for hasso5703/alzeo
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,274

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+28+10+90
Per day411
Forks gained+0+3+10

alzeo gained 10 stars in the last 30 days, about 1 a day, and now has 256. It is about 1 year old and has averaged roughly 256 stars a year. It ranks #2,274 among Python repositories and #17,207 across all languages on GitHubRepo.

Trending Record

alzeo has maintained a continuous presence across global trending indexes, peaking at #2688. Below is the 30-day activity profile:

💡 Overview

dgx-spark-qwen38 is an open-source project written in Python: Fastest measured Qwen3.8-27B config for DGX Spark (GB10): SGLang + NVFP4 + DFlash2, 71.4 tok/s greedy median, 1M context, deterministic boots. Flash-Next 176B on one box. One command, everything pinned, and a local cockpit to drive it.

Engineered for speed, consistency, and developer ease, it solves common hurdles in dgx-spark, gb10, local-llm. 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 dgx-spark-qwen38

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

dgx-spark-qwen38 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 dgx-spark-qwen38.

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

1

Install dgx-spark-qwen38 using your package manager: `pip install dgx-spark-qwen38`

2

Initialize your project workspace or configuration file for dgx-spark-qwen38.

3

Import dgx-spark-qwen38 into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `dgx-spark-qwen38 --help` to verify successful setup.

👍 Strengths

Active community backing with 228 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.

⇄ Alternatives & Direct Competitors

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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

hasso5703/alzeo is currently ranked #17,207 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
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#17,207 hasso5703/alzeo This Project Python ★ 256
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Frequently Asked Questions

What does alzeo do? +

Alzeo is an open-source installer that turns an NVIDIA DGX Spark, or any GB10 machine (ASUS, Dell, HP, Lenovo, MSI, GIGABYTE, Acer), into a private AI server in one command: measured model lanes, OpenAI and Anthropic APIs, and a local cockpit.

Is alzeo actively maintained in 2026? +

Yes, alzeo is actively maintained. The latest code push was recorded on Nov 10, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 256 stars and 3 open issues.

What language is alzeo written in? +

The primary language is Python. Topics include: ai-agents, asus-ascent-gx10, dgx-spark, gb10, image-generation.

How many stars does alzeo have? +

alzeo has 256 stars and 23 forks on GitHub.

How does alzeo rank among GitHub repositories? +

With 256 stars, hasso5703/alzeo is ranked #17,207 globally across all repositories tracked on GitHubRepo and #2,274 among Python projects.

What license is alzeo distributed under? +

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

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