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ctran/annotate_models

Annotate Rails classes with schema and routes info

Ruby ◇ activerecord NOASSERTION
★4.5KSTARS
⑂680FORKS
!145ISSUES
🏆#1,419GLOBAL RANK
🔥67DAYS TRENDING
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Momentum

+112

STARS · LAST 30 DAYS

4

PER DAY

#50

MOST-STARRED Ruby

Window7 days30 days90 days
Stars gained+28+112+360
Per day444
Forks gained+3+14+34

annotate_models gained 112 stars in the last 30 days, about 4 a day, and now has 4.5K. It is about 19 years old and has averaged roughly 236 stars a year. It ranks #50 among Ruby repositories and #1,419 across all languages on GitHubRepo.

Trending Record

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

💡 Overview

annotate_models is an open-source project written in Ruby: Annotate Rails classes with schema and routes info.

Engineered for speed, consistency, and developer ease, it solves common hurdles in activerecord, rails, ruby. 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 Ruby 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/ctran/annotate_models.git
cd annotate_models

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Ruby >= 3.1 with Bundler

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

annotate_models coordinates its core functionality through a modular Ruby 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with annotate_models.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install annotate_models using your package manager: `git clone https://github.com/ctran/annotate_models.git`

2

Initialize your project workspace or configuration file for annotate_models.

3

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

4

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

👍 Strengths

Active community backing with 4,483 GitHub stars and verified adoption.
Permissive open-source distribution under the NOASSERTION license.
Built in Ruby 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 Ruby 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 Ruby, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

ctran/annotate_models is currently ranked #1,419 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,414 nicholas-fedor/watchtower Go ★ 4.5K Compare ↗
#1,415 docker/buildx Go ★ 4.5K Compare ↗
#1,416 squidowl/halloy Rust ★ 4.5K Compare ↗
#1,417 apple/swift-collections Swift ★ 4.5K Compare ↗
#1,418 octobox/octobox Ruby ★ 4.5K Compare ↗
#1,419 ctran/annotate_models This Project Ruby ★ 4.5K
#1,419 EverMind-AI/Raven Python ★ 4.5K Compare ↗
#1,420 embabel/embabel-agent Kotlin ★ 4.5K Compare ↗
#1,421 macro-inc/macro Rust ★ 4.5K Compare ↗
#1,422 huynhsontung/Screenbox C# ★ 4.5K Compare ↗
#1,423 Cysharp/MagicOnion C# ★ 4.5K Compare ↗

Frequently Asked Questions

What does annotate_models do? +

Annotate Rails classes with schema and routes info

What language is annotate_models written in? +

The primary language is Ruby. Topics include: activerecord, rails, ruby.

Is annotate_models actively maintained? +

Yes, the last recorded push was on Aug 5, 2024 with 145 open issues being tracked.

How many stars does annotate_models have? +

annotate_models has 4,483 stars and 680 forks on GitHub.

How does annotate_models rank among GitHub repositories? +

With 4,483 stars, ctran/annotate_models is ranked #1,419 globally across all repositories tracked on GitHubRepo and #50 among Ruby projects.

What license is annotate_models distributed under? +

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

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