Have you ever wished for a more intuitive, visually engaging way to manage RabbitMQ beyond the default Management UI? As much as I appreciate RabbitMQ’s robustness, the existing interface can feel a bit dated when it comes to day-to-day monitoring and operations. That’s why I built RabbitScout: a modern, open-source dashboard designed to streamline your RabbitMQ experience.
Why RabbitScout?
A few weeks ago, I found myself frequently switching between the RabbitMQ Management UI and various CLI tools. While it’s functional, I wanted something cleaner—a tool that could give me real-time metrics at a glance, help me quickly manage queues, and do it all with a polished, modern interface.
RabbitScout emerged from that need. It’s currently a work-in-progress, but it’s already shaping up to be a friendlier alternative for RabbitMQ management tasks.
Key Features
- Real-Time Metrics: See total messages, message rates, and queue statistics updated live.
- Queue Management: Easily list queues, filter them, inspect messages, purge or delete queues, and even publish messages directly from the UI.
- Responsive UI & Theme Support: Enjoy a clean, modern interface optimized for both desktop and mobile, with the option to switch between light and dark modes.
- Secure Sessions: Log in with your RabbitMQ credentials, and trust that sessions are managed securely with HTTP-only cookies.
- Future-Ready: Plans are underway to add binding management, advanced connection/channel controls, and more robust analytics and visualizations.
Under the Hood
RabbitScout is built with:
Next.js 14 & React: Taking advantage of the App Router and server components for data fetching and secure API handling.
TypeScript: Ensuring type safety and a more predictable development experience.
Tailwind CSS & shadcn/ui: Quickly building a cohesive, responsive, and accessible UI with reusable components.
RabbitMQ Management API: Leveraging RabbitMQ’s built-in management APIs to retrieve metrics and perform actions.
This stack allowed me to separate the UI logic from the server-side data fetching cleanly. For instance, server components fetch queue data and metrics without exposing credentials to the client. This approach makes the dashboard more secure and maintainable.
Getting Started
Ready to give it a try? Here’s how you can spin it up locally:
git clone https://github.com/Ralve-org/RabbitScout.git
cd RabbitScout
npm install
cp .env.example .env
Open .env and provide your RabbitMQ host, port, credentials, and other configuration details. Once that’s done:
npm run dev
Now head over to and log in with your RabbitMQ credentials (for localhost, guest/guest works by default).
Screenshots
Light Mode Dashboard:
Dark Mode Dashboard:
These examples show the main dashboard page, where you can monitor message rates, queue distribution, and system memory usage—all updated in real-time.
Current Limitations & Roadmap
What’s missing right now?
Binding Management: Currently in development, you’ll soon be able to create, edit, and manage bindings through the UI.
Advanced Connection/Channel Controls: Features like force-closing connections and richer channel metrics are on the way.
Enhanced Analytics & Notifications: More graphs, notifications, and improved search capabilities are planned.
I’m actively working on these improvements, and suggestions are welcome!
Contributing
As an open-source project, RabbitScout thrives on community input. Whether you want to suggest a feature, report a bug, improve documentation, or contribute code, I’d love your help.
Ways to contribute:
Open an Issue: Found a bug or have a cool idea? Let me know.
Submit a PR: Feel free to tackle an existing issue or propose a new feature.
Improve Documentation: Even a small tweak helps make the project more accessible.
GitHub Repository:
https://github.com/Ralve-org/RabbitScout
Let’s Make RabbitMQ Management Better Together
RabbitScout started as a personal project to simplify my own workflow, but I hope it can benefit others looking for a more intuitive RabbitMQ dashboard. Check it out, play around, and let me know what you think. Your feedback, contributions, and stars :) can shape its future.
Thanks for reading! If you have any questions, comments, or suggestions, feel free to drop them below. Let’s build a better RabbitMQ management experience together.
The above is the detailed content of RabbitScout: A Modern, Open-Source Dashboard for Managing RabbitMQ. For more information, please follow other related articles on the PHP Chinese website!

The differences in performance and efficiency between Python and JavaScript are mainly reflected in: 1) As an interpreted language, Python runs slowly but has high development efficiency and is suitable for rapid prototype development; 2) JavaScript is limited to single thread in the browser, but multi-threading and asynchronous I/O can be used to improve performance in Node.js, and both have advantages in actual projects.

JavaScript originated in 1995 and was created by Brandon Ike, and realized the language into C. 1.C language provides high performance and system-level programming capabilities for JavaScript. 2. JavaScript's memory management and performance optimization rely on C language. 3. The cross-platform feature of C language helps JavaScript run efficiently on different operating systems.

JavaScript runs in browsers and Node.js environments and relies on the JavaScript engine to parse and execute code. 1) Generate abstract syntax tree (AST) in the parsing stage; 2) convert AST into bytecode or machine code in the compilation stage; 3) execute the compiled code in the execution stage.

The future trends of Python and JavaScript include: 1. Python will consolidate its position in the fields of scientific computing and AI, 2. JavaScript will promote the development of web technology, 3. Cross-platform development will become a hot topic, and 4. Performance optimization will be the focus. Both will continue to expand application scenarios in their respective fields and make more breakthroughs in performance.

Both Python and JavaScript's choices in development environments are important. 1) Python's development environment includes PyCharm, JupyterNotebook and Anaconda, which are suitable for data science and rapid prototyping. 2) The development environment of JavaScript includes Node.js, VSCode and Webpack, which are suitable for front-end and back-end development. Choosing the right tools according to project needs can improve development efficiency and project success rate.

Yes, the engine core of JavaScript is written in C. 1) The C language provides efficient performance and underlying control, which is suitable for the development of JavaScript engine. 2) Taking the V8 engine as an example, its core is written in C, combining the efficiency and object-oriented characteristics of C. 3) The working principle of the JavaScript engine includes parsing, compiling and execution, and the C language plays a key role in these processes.

JavaScript is at the heart of modern websites because it enhances the interactivity and dynamicity of web pages. 1) It allows to change content without refreshing the page, 2) manipulate web pages through DOMAPI, 3) support complex interactive effects such as animation and drag-and-drop, 4) optimize performance and best practices to improve user experience.

C and JavaScript achieve interoperability through WebAssembly. 1) C code is compiled into WebAssembly module and introduced into JavaScript environment to enhance computing power. 2) In game development, C handles physics engines and graphics rendering, and JavaScript is responsible for game logic and user interface.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Atom editor mac version download
The most popular open source editor

WebStorm Mac version
Useful JavaScript development tools
