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Home / Python / GNM

google/GNM

An open ecosystem of parametric human models and perception stacks, starting with GNM Head.

Python ◇ 3dmm Apache-2.0
★1.5KSTARS
⑂171FORKS
!14ISSUES
🏆#2,797GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Momentum

+38

STARS · LAST 30 DAYS

1

PER DAY

#374

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+38+90
Per day111
Forks gained+1+3+10

GNM gained 38 stars in the last 30 days, about 1 a day, and now has 1.5K. It is about 1 year old and has averaged roughly 1.5K stars a year. It ranks #374 among Python repositories and #2,797 across all languages on GitHubRepo.

Trending Record

GNM has maintained a continuous presence across global trending indexes, peaking at #3262. Below is the 30-day activity profile:

💡 Overview

GNM is an open-source project written in Python: An open ecosystem of parametric human models and perception stacks, starting with GNM Head.

Engineered for speed, consistency, and developer ease, it solves common hurdles in 3dmm, digital-human, gnm. 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 GNM

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

GNM 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 GNM 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 Apache-2.0 license.

🚀 Getting Started

1

Install GNM using your package manager: `pip install GNM`

2

Initialize your project workspace or configuration file for GNM.

3

Import GNM into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `GNM --help` to verify successful setup.

👍 Strengths

Active community backing with 1,538 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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

google/GNM is currently ranked #2,797 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,792 mcallegari/qlcplus C++ ★ 1.5K Compare ↗
#2,793 bgreenwell/lstr Rust ★ 1.5K Compare ↗
#2,793 moq-dev/moq Rust ★ 1.5K Compare ↗
#2,795 vinceglb/FileKit Kotlin ★ 1.5K Compare ↗
#2,795 nats-io/nats.rs Rust ★ 1.5K Compare ↗
#2,797 google/GNM This Project Python ★ 1.5K
#2,797 hashicorp/terraform-mcp-server Go ★ 1.5K Compare ↗
#2,799 kai-scheduler/KAI-Scheduler Go ★ 1.5K Compare ↗
#2,800 phpstan/phpdoc-parser PHP ★ 1.5K Compare ↗
#2,801 apache/httpcomponents-client Java ★ 1.5K Compare ↗
#2,801 Cay-Zhang/RSSBud JavaScript ★ 1.5K Compare ↗

Frequently Asked Questions

What does GNM do? +

An open ecosystem of parametric human models and perception stacks, starting with GNM Head.

What language is GNM written in? +

The primary language is Python. Topics include: 3dmm, digital-human, gnm, parametric-model.

Is GNM actively maintained? +

Yes, the last recorded push was on Sep 30, 2026 with 14 open issues being tracked.

How many stars does GNM have? +

GNM has 1,538 stars and 171 forks on GitHub.

How does GNM rank among GitHub repositories? +

With 1,538 stars, google/GNM is ranked #2,797 globally across all repositories tracked on GitHubRepo and #374 among Python projects.

What license is GNM distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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