Tools for building GPU clusters
⚡ Executive Summary & Quick Facts
Authoritative Sourcedeepops is deepops is an open-source project written in Python: Tools for building GPU clusters..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), NVIDIA/deepops has accumulated 1,480 GitHub stars and 362 forks. It is written in Python, licensed under BSD-3-Clause, and ranks #5,824 globally. It is actively maintained with the latest commit recorded on Oct 24, 2026.”
| Repository | NVIDIA/deepops ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Python |
| Software License | BSD-3-Clause |
| Community Traction | ★ 1.5K stars · ⑂ 362 forks · #5,824 globally |
| Maintenance | ● Active (Last commit: Oct 24, 2026) · 8 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: 97/100 · Grade A+Yes, deepops is actively maintained. Continuous telemetry recorded the last code commit on Oct 24, 2026 (6 days ago). Supported by 1,480 stars and 362 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+37
STARS · LAST 30 DAYS
1
PER DAY
#819
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +37 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +2 | +7 | +18 |
deepops gained 37 stars in the last 30 days, about 1 a day, and now has 1.5K. It is about 8 years old and has averaged roughly 185 stars a year. It ranks #819 among Python repositories and #5,824 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#8150
BEST RANK
Oct 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
deepops has maintained a continuous presence across global trending indexes, peaking at #8150. Below is the 30-day activity profile:
💡 Overview
deepops is an open-source project written in Python: Tools for building GPU clusters.
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
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 deepops⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
deepops 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 deepops 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 BSD-3-Clause license.
🚀 Getting Started
Install deepops using your package manager: `pip install deepops`
Initialize your project workspace or configuration file for deepops.
Import deepops into your codebase or invoke it directly from your terminal.
Execute your test suite or run `deepops --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
NVIDIA/deepops is currently ranked #5,824 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,818 | psd-tools/psd-tools | Python | ★ 1.5K | Compare ↗ |
| #5,818 | mosquito/aio-pika | Python | ★ 1.5K | Compare ↗ |
| #5,818 | fsouza/fake-gcs-server | Go | ★ 1.5K | Compare ↗ |
| #5,818 | google/flogger | Java | ★ 1.5K | Compare ↗ |
| #5,818 | orbien-org/orbien | Rust | ★ 1.5K | Compare ↗ |
| #5,824 | NVIDIA/deepops This Project | Python | ★ 1.5K | |
| #5,824 | KhronosGroup/glTF-Sample-Viewer | JavaScript | ★ 1.5K | Compare ↗ |
| #5,824 | theroyallab/tabbyAPI | Python | ★ 1.5K | Compare ↗ |
| #5,827 | royqh1979/RedPanda-CPP | C++ | ★ 1.5K | Compare ↗ |
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Frequently Asked Questions
What does deepops do? +
Tools for building GPU clusters
Is deepops actively maintained in 2026? +
Yes, deepops is actively maintained. The latest code push was recorded on Oct 24, 2026 (6 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,480 stars and 8 open issues.
What language is deepops written in? +
The primary language is Python. Topics include: software.
How many stars does deepops have? +
deepops has 1,480 stars and 362 forks on GitHub.
How does deepops rank among GitHub repositories? +
With 1,480 stars, NVIDIA/deepops is ranked #5,824 globally across all repositories tracked on GitHubRepo and #819 among Python projects.
What license is deepops distributed under? +
The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.
