A closed-loop console application library for Cobra commands, providing ready-to-use menus, prompts, and completions.
Console is a Go library for building interactive command-line applications using Cobra commands. It provides a closed-loop system that integrates a readline-powered shell with advanced features like menus, prompts, completions, and syntax highlighting, allowing developers to create rich CLI tools with minimal boilerplate.
Go developers building interactive CLI applications who want to leverage Cobra for command structure while adding advanced shell-like features such as menus, prompts, and completions.
Developers choose Console because it offers a ready-to-use, modern interface for Cobra-based applications, reducing the effort needed to implement advanced features like interactive menus, prompt customization, and intelligent completions, all while maintaining a simple API.
Closed-loop application library for Cobra commands (powerful, ready-to-run and easy to use)
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Allows binding existing Cobra commands to multiple independent menus with their own command trees, enabling complex CLI structures without rewriting command logic.
Leverages carapace for intelligent command, flag, and argument completions, providing automatic usage and validation hints out-of-the-box as per the README.
Supports oh-my-posh prompts per menu with custom configuration files and application-specific segments, enhancing user experience with minimal setup.
Includes pre-built commands for readline manipulation and syntax highlighting for commands, reducing development time for common interactive elements.
The library is in a pre-release candidate status and hasn't been heavily tested, meaning potential bugs or missing features could affect reliability.
Relies on several external libraries like readline, Cobra, carapace, and oh-my-posh, increasing binary size and complexity for simple applications.
For basic CLI tools without interactive needs, the overhead of integrating menus and prompts can be unnecessary, as the README focuses on feature-rich use cases.