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Abigail
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Abigail/algorithm--numerical--sample

Draw fair, random samples from a set.

★3STARS
⑂1FORKS
!0ISSUES
🏆#12,754GLOBAL RANK
🔥21DAYS TRENDING
🚀
Maintainer Growth Kit for algorithm--numerical--sample

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Star History

Continuous Observations
Interactive star growth chart for Abigail/algorithm--numerical--sample
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#53

MOST-STARRED Perl

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

algorithm--numerical--sample gained 10 stars in the last 30 days, about 1 a day, and now has 3. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #53 among Perl repositories and #12,754 across all languages on GitHubRepo.

Trending Record

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

💡 Overview

algorithm--numerical--sample is an open-source project written in Perl: Draw fair, random samples from a set.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Perl. 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 Perl 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/Abigail/algorithm--numerical--sample.git
cd algorithm--numerical--sample

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Perl environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

algorithm--numerical--sample coordinates its core functionality through a modular Perl 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 algorithm--numerical--sample into Perl 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 algorithm--numerical--sample using your package manager: `git clone https://github.com/Abigail/algorithm--numerical--sample.git`

2

Initialize your project workspace or configuration file for algorithm--numerical--sample.

3

Import algorithm--numerical--sample into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `algorithm--numerical--sample --help` to verify successful setup.

👍 Strengths

Active community backing with 3 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source license.
Built in Perl 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 Perl 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.

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

Abigail/algorithm--numerical--sample is currently ranked #12,754 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#12,083 apache/harmony-jdktools Java ★ 4 Compare ↗
#12,083 aginor/alternet Java ★ 4 Compare ↗
#12,083 alloy-d/twitter-scripts Python ★ 4 Compare ↗
#12,083 hgmnz/fast_random Ruby ★ 4 Compare ↗
#12,083 wagenet/multi_assignment_sanity — ★ 4 Compare ↗
#12,754 Abigail/algorithm--numerical--sample This Project Perl ★ 3
#12,754 mudge/blankable Ruby ★ 3 Compare ↗
#12,754 anildigital/getfake Ruby ★ 3 Compare ↗
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Frequently Asked Questions

What does algorithm--numerical--sample do? +

Draw fair, random samples from a set.

What language is algorithm--numerical--sample written in? +

The primary language is Perl. Topics include: software.

Is algorithm--numerical--sample actively maintained? +

Yes, the last recorded push was on Jan 12, 2010 with 0 open issues being tracked.

How many stars does algorithm--numerical--sample have? +

algorithm--numerical--sample has 3 stars and 1 forks on GitHub.

How does algorithm--numerical--sample rank among GitHub repositories? +

With 3 stars, Abigail/algorithm--numerical--sample is ranked #12,754 globally across all repositories tracked on GitHubRepo and #53 among Perl projects.

What license is algorithm--numerical--sample distributed under? +

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

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