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HawkBearPig
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HawkBearPig/dgpp

Optimized inference for the DGX Spark and spark clusters

C++ ◇ developer-tools Apache-2.0
★62STARS
⑂14FORKS
!9ISSUES
🏆#7,137GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for HawkBearPig/dgpp
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#480

MOST-STARRED C++

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

dgpp gained 10 stars in the last 30 days, about 1 a day, and now has 62. It is about 1 year old and has averaged roughly 62 stars a year. It ranks #480 among C++ repositories and #7,137 across all languages on GitHubRepo.

Trending Record

dgpp has maintained a continuous presence across global trending indexes, peaking at #273. Below is the 30-day activity profile:

💡 Overview

dgpp is an open-source project written in C++: Optimized inference for the DGX Spark and spark clusters.

Engineered for speed, consistency, and developer ease, it solves common hurdles in C++. 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 C++ 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
$ git clone https://github.com/HawkBearPig/dgpp.git
cd dgpp

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

dgpp coordinates its core functionality through a modular C++ 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 dgpp into C++ 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 dgpp using your package manager: `git clone https://github.com/HawkBearPig/dgpp.git`

2

Initialize your project workspace or configuration file for dgpp.

3

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

4

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

👍 Strengths

Active community backing with 41 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C++ 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 C++ 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 C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

HawkBearPig/dgpp is currently ranked #7,137 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,123 Aut0iq/Vici JavaScript ★ 63 Compare ↗
#7,123 omacom/hype C++ ★ 63 Compare ↗
#7,123 BeatAPI/awesome-jev JavaScript ★ 63 Compare ↗
#7,123 milanofthe/sanity TypeScript ★ 63 Compare ↗
#7,123 mattxslv/childstream C# ★ 63 Compare ↗
#7,137 HawkBearPig/dgpp This Project C++ ★ 62
#7,137 topfunky/google-checkout Ruby ★ 62 Compare ↗
#7,137 tibbe/hyena Haskell ★ 62 Compare ↗
#7,137 qcodo/qcodo PHP ★ 62 Compare ↗
#7,137 darius/languagetoys Python ★ 62 Compare ↗
#7,137 mdesjardins/buzzbird JavaScript ★ 62 Compare ↗

Frequently Asked Questions

What does dgpp do? +

Optimized inference for the DGX Spark and spark clusters

What language is dgpp written in? +

The primary language is C++. Topics include: software.

Is dgpp actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 9 open issues being tracked.

How many stars does dgpp have? +

dgpp has 62 stars and 14 forks on GitHub.

How does dgpp rank among GitHub repositories? +

With 62 stars, HawkBearPig/dgpp is ranked #7,137 globally across all repositories tracked on GitHubRepo and #480 among C++ projects.

What license is dgpp distributed under? +

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

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