Redis Lens

Redis Lens is a Simple, beautiful Redis monitoring and management tool with a clean interface built using React and FastAPI. It allows you to connect to Redis servers, explore keys, execute commands, and monitor server performance.

Key Explorer	Performance Monitor	Command Runner

Edit Keys	Connection Manager

Features

• 🔍 Key Explorer: Browse, search, and manage Redis keys with pagination
• 🖥️ Command Terminal: Execute any Redis command with a built-in command history
• 📊 Server Dashboard: Monitor Redis server performance metrics with real-time charts
• 🌓 Dark/Light Mode: Eye-friendly interface that works in any lighting condition
• 🚀 Offline Mode: Works without internet connection by bundling all required assets

Installation

Redis Lens can be installed via pip:

pip install redislens

Usage

Start Redis Lens with a simple command:

redislens

This will start the server on http://localhost:8005 and automatically open it in your default web browser.

Command-Line Options

# Start on a different host/port
redislens start --host 0.0.0.0 --port 8080

# Do not open the browser automatically
redislens start --no-browser

# Run in debug mode (auto-reload on code changes)
redislens start --debug

# Show version information
redislens version

Development

To set up a development environment:

1. Clone the repository:

   git clone https://github.com/arun477/redislens.git
   cd redislens
   

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

3. Install in development mode:

   pip install -e .
   

4. Run with debug mode:

   redislens start --debug
   

Building the Frontend

The frontend is a React application. To build it:

1. Navigate to the frontend directory:

   cd frontend
   

2. Install dependencies:

   npm install
   

3. Build the production version:

   npm run build
   

4. Copy the build directory to the package:

   cp -r build ../redis_lens/
   

License

MIT License - See LICENSE file for details.

Acknowledgements

• Thanks to the Redis team for creating an amazing in-memory database
• React, FastAPI, Tailwind CSS, and other open-source libraries that made this project possible