Collect performance profiles for your Rails application.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#680
MOST-STARRED Ruby
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
app_profiler gained 10 stars in the last 30 days, about 1 a day, and now has 267. It is about 7 years old and has averaged roughly 38 stars a year. It ranks #680 among Ruby repositories and #10,686 across all languages on GitHubRepo.
Trending Record
8
DAYS ON TRENDING
#9035
BEST RANK
Oct 7, 2026
FIRST APPEARANCE
Active
STATUS TODAY
app_profiler has maintained a continuous presence across global trending indexes, peaking at #9035. Below is the 30-day activity profile:
💡 Overview
app_profiler is an open-source project written in Ruby: Collect performance profiles for your Rails application.
Engineered for speed, consistency, and developer ease, it solves common hurdles in performance, profiling, rails. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Ruby for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/Shopify/app_profiler.git
cd app_profiler⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Ruby >= 3.1 with Bundler
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
app_profiler 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 app_profiler.
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
Install app_profiler using your package manager: `git clone https://github.com/Shopify/app_profiler.git`
Initialize your project workspace or configuration file for app_profiler.
Import app_profiler into your codebase or invoke it directly from your terminal.
Execute your test suite or run `app_profiler --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
Shopify/app_profiler is currently ranked #10,686 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,670 | mix1009/model-keyword | Python | ★ 268 | Compare ↗ |
| #10,670 | quarto-dev/q2 | Rust | ★ 268 | Compare ↗ |
| #10,670 | jmcorgan/fips | Rust | ★ 268 | Compare ↗ |
| #10,670 | atoms-co/splitter | Go | ★ 268 | Compare ↗ |
| #10,670 | Icy-Cat/x-viral-monitor | JavaScript | ★ 268 | Compare ↗ |
| #10,686 | Shopify/app_profiler This Project | Ruby | ★ 267 | |
| #10,686 | PHP-DI/Invoker | PHP | ★ 267 | Compare ↗ |
| #10,686 | cloudfoundry/stratos | TypeScript | ★ 267 | Compare ↗ |
| #10,686 | MadDeCoDeR/Classic-RBDOOM-3-BFG | C++ | ★ 267 | Compare ↗ |
| #10,686 | JarryShaw/PyPCAPKit | Python | ★ 267 | Compare ↗ |
| #10,686 | oracle/weblogic-kubernetes-operator | Java | ★ 267 | Compare ↗ |
Frequently Asked Questions
What does app_profiler do? +
Collect performance profiles for your Rails application.
What language is app_profiler written in? +
The primary language is Ruby. Topics include: performance, profiling, rails, webscale.
Is app_profiler actively maintained? +
Yes, the last recorded push was on Oct 5, 2026 with 11 open issues being tracked.
How many stars does app_profiler have? +
app_profiler has 267 stars and 15 forks on GitHub.
How does app_profiler rank among GitHub repositories? +
With 267 stars, Shopify/app_profiler is ranked #10,686 globally across all repositories tracked on GitHubRepo and #680 among Ruby projects.
What license is app_profiler distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
