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gamelinux/prads

Passive Real-time Asset Detection System

Standard ML ◇ developer-tools
★248STARS
⑂59FORKS
!8ISSUES
🏆#9,367GLOBAL RANK
🔥44DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2

MOST-STARRED Standard ML

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

prads gained 10 stars in the last 30 days, about 1 a day, and now has 248. It is about 18 years old and has averaged roughly 14 stars a year. It ranks #2 among Standard ML repositories and #9,367 across all languages on GitHubRepo.

Trending Record

prads has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

prads is an open-source project written in Standard ML: Passive Real-time Asset Detection System.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Standard ML. 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 Standard ML 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/gamelinux/prads.git
cd prads

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Standard ML environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

prads coordinates its core functionality through a modular Standard ML 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 prads into Standard ML 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 source license.

🚀 Getting Started

1

Install prads using your package manager: `git clone https://github.com/gamelinux/prads.git`

2

Initialize your project workspace or configuration file for prads.

3

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

4

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

👍 Strengths

Active community backing with 248 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source license.
Built in Standard ML 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 Standard ML 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

G
GoldenCheetah/GoldenCheetah ★ 2.2K Standard ML

Performance Software for Cyclists, Runners, Triathletes and Coaches

Compare ↗

👥 Who Should Use This

Developers and engineering teams building with Standard ML, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

gamelinux/prads is currently ranked #9,367 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,353 ucnv/aviglitch Ruby ★ 249 Compare ↗
#9,353 myobie/htmldiff Ruby ★ 249 Compare ↗
#9,353 technoweenie/masochism Ruby ★ 249 Compare ↗
#9,353 callum-oakley/json5-rs Rust ★ 249 Compare ↗
#9,353 Wynntils/Wynntils Java ★ 249 Compare ↗
#9,367 gamelinux/prads This Project Standard ML ★ 248
#9,367 smartcomputer-ai/lightspeed Rust ★ 248 Compare ↗
#9,367 cryptrr/AutoPie Kotlin ★ 248 Compare ↗
#9,367 uwuclxdy/clauth Rust ★ 248 Compare ↗
#9,367 UKGovernmentBEIS/control-arena Python ★ 248 Compare ↗
#9,367 youcci/playport Kotlin ★ 248 Compare ↗

Frequently Asked Questions

What does prads do? +

Passive Real-time Asset Detection System

What language is prads written in? +

The primary language is Standard ML. Topics include: software.

Is prads actively maintained? +

Yes, the last recorded push was on May 28, 2024 with 8 open issues being tracked.

How many stars does prads have? +

prads has 248 stars and 59 forks on GitHub.

How does prads rank among GitHub repositories? +

With 248 stars, gamelinux/prads is ranked #9,367 globally across all repositories tracked on GitHubRepo and #2 among Standard ML projects.

What license is prads distributed under? +

No SPDX license identified yet. Code without a license is subject to copyright by default.

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