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Eckankar
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Eckankar/rsg-SML

A random sentence generator written in SML.

Standard ML ◇ developer-tools MIT
★1STARS
⑂0FORKS
!0ISSUES
🏆#34,196GLOBAL RANK
🔥8DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

rsg-SML is rsg-SML is an open-source project written in Standard ML: A random sentence generator written in SML..

Repository Eckankar/rsg-SML ↗
Primary Category developer tools
Language & Stack Standard ML
Software License MIT
Community Traction ★ 1 stars · ⑂ 0 forks · #34,196 globally
Maintenance ● Active (Last commit: Dec 20, 2017) · 0 open issues
Target Audience Developers and engineering teams building with Standard ML, seeking reliable, tested, and actively maintained tooling for production workloads.

Star History

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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

rsg-SML gained 10 stars in the last 30 days, about 1 a day, and now has 1. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #2 among Standard ML repositories and #34,196 across all languages on GitHubRepo.

Trending Record

rsg-SML has maintained a continuous presence across global trending indexes, peaking at #33490. Below is the 30-day activity profile:

💡 Overview

rsg-SML is an open-source project written in Standard ML: A random sentence generator written in SML.

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/Eckankar/rsg-SML.git
cd rsg-SML

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Standard ML environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

rsg-SML 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 rsg-SML 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 MIT license.

🚀 Getting Started

1

Install rsg-SML using your package manager: `git clone https://github.com/Eckankar/rsg-SML.git`

2

Initialize your project workspace or configuration file for rsg-SML.

3

Import rsg-SML into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 1 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

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👥 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

Eckankar/rsg-SML is currently ranked #34,196 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#31,252 seppo0010/Tuit-ar Java ★ 2 Compare ↗
#31,252 khuxtable/htmlfilter-site-maven-plugin Java ★ 2 Compare ↗
#31,252 ThomasPedersen/Sild ActionScript ★ 2 Compare ↗
#31,252 dbarison/dbarison_curriculum Ruby ★ 2 Compare ↗
#31,252 parolkar/rancho Ruby ★ 2 Compare ↗
#34,196 Eckankar/rsg-SML This Project Standard ML ★ 1
#34,196 prepor/prepor-ru PHP ★ 1 Compare ↗
#34,196 dfugere/flat_lady Ruby ★ 1 Compare ↗
#34,196 openmoney/openmoney-plugin — ★ 1 Compare ↗
#34,196 mayo/timetravel Ruby ★ 1 Compare ↗
#34,196 devrieda/cookie_crumbs Ruby ★ 1 Compare ↗
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Frequently Asked Questions

What does rsg-SML do? +

A random sentence generator written in SML.

What language is rsg-SML written in? +

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

Is rsg-SML actively maintained? +

Yes, the last recorded push was on Dec 20, 2017 with 0 open issues being tracked.

How many stars does rsg-SML have? +

rsg-SML has 1 stars and 0 forks on GitHub.

How does rsg-SML rank among GitHub repositories? +

With 1 stars, Eckankar/rsg-SML is ranked #34,196 globally across all repositories tracked on GitHubRepo and #2 among Standard ML projects.

What license is rsg-SML distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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