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.
⚡ Executive Summary & Quick Facts
Authoritative Sourcealzeo 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..
“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+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.
Star History
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Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#2,274
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +28 | +10 | +90 |
| Per day | 4 | 1 | 1 |
| 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
22
DAYS ON TRENDING
#2688
BEST RANK
Oct 17, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
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 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
Install dgx-spark-qwen38 using your package manager: `pip install dgx-spark-qwen38`
Initialize your project workspace or configuration file for dgx-spark-qwen38.
Import dgx-spark-qwen38 into your codebase or invoke it directly from your terminal.
Execute your test suite or run `dgx-spark-qwen38 --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
hasso5703/alzeo is currently ranked #17,207 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #17,177 | Anime0t4ku/mister-companion | Python | ★ 257 | Compare ↗ |
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| #17,177 | ACoci86/terrahour | Python | ★ 257 | Compare ↗ |
| #17,207 | hasso5703/alzeo This Project | Python | ★ 256 | |
| #17,207 | duplys/git-issues | Python | ★ 256 | Compare ↗ |
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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.