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gregnavis
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gregnavis/active_record_doctor

Identify database issues before they hit production.

Ruby ◇ activerecord MIT
★1.9KSTARS
⑂71FORKS
!29ISSUES
🏆#3,541GLOBAL RANK
🔥7DAYS TRENDING
🚀
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Momentum

+48

STARS · LAST 30 DAYS

2

PER DAY

#171

MOST-STARRED Ruby

Window7 days30 days90 days
Stars gained+0+48+180
Per day122
Forks gained+1+3+10

active_record_doctor gained 48 stars in the last 30 days, about 2 a day, and now has 1.9K. It is about 11 years old and has averaged roughly 174 stars a year. It ranks #171 among Ruby repositories and #3,541 across all languages on GitHubRepo.

Trending Record

active_record_doctor has maintained a continuous presence across global trending indexes, peaking at #3105. Below is the 30-day activity profile:

💡 Overview

active_record_doctor is an open-source project written in Ruby: Identify database issues before they hit production.

Engineered for speed, consistency, and developer ease, it solves common hurdles in activerecord, database, performance. 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/gregnavis/active_record_doctor.git
cd active_record_doctor

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Ruby >= 3.1 with Bundler

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

active_record_doctor 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 active_record_doctor.

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 active_record_doctor using your package manager: `git clone https://github.com/gregnavis/active_record_doctor.git`

2

Initialize your project workspace or configuration file for active_record_doctor.

3

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

4

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

👍 Strengths

Active community backing with 1,918 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

gregnavis/active_record_doctor is currently ranked #3,541 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,536 openjournals/joss Ruby ★ 1.9K Compare ↗
#3,536 Discord4J/Discord4J Java ★ 1.9K Compare ↗
#3,536 sartography/SpiffWorkflow Python ★ 1.9K Compare ↗
#3,539 amebalabs/TRex Swift ★ 1.9K Compare ↗
#3,539 pheanstalk/pheanstalk PHP ★ 1.9K Compare ↗
#3,541 gregnavis/active_record_doctor This Project Ruby ★ 1.9K
#3,542 openupm/openupm JavaScript ★ 1.9K Compare ↗
#3,542 kriswallsmith/Buzz PHP ★ 1.9K Compare ↗
#3,544 defunkt/facebox JavaScript ★ 1.9K Compare ↗
#3,545 sjdonado/idonthavespotify TypeScript ★ 1.9K Compare ↗
#3,546 selenide/selenide Java ★ 1.9K Compare ↗

Frequently Asked Questions

What does active_record_doctor do? +

Identify database issues before they hit production.

What language is active_record_doctor written in? +

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

Is active_record_doctor actively maintained? +

Yes, the last recorded push was on Oct 7, 2026 with 29 open issues being tracked.

How many stars does active_record_doctor have? +

active_record_doctor has 1,918 stars and 71 forks on GitHub.

How does active_record_doctor rank among GitHub repositories? +

With 1,918 stars, gregnavis/active_record_doctor is ranked #3,541 globally across all repositories tracked on GitHubRepo and #171 among Ruby projects.

What license is active_record_doctor distributed under? +

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

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