Musoq provides a SQL-like interface for querying diverse data sources, including files, directories, archives, and code repositories, without requiring a traditional database. It aims to simplify data exploration and analysis for developers by offering an intuitive, SQL-inspired syntax for common tasks.

How It Works

Musoq employs a plugin-based architecture, allowing it to interact with various data types. It parses SQL-like queries and translates them into operations specific to the targeted data source via these plugins. This approach enables in-place analysis without data import, leveraging familiar SQL constructs for tasks like file system traversal, Git repository inspection, and code analysis.

Quick Start & Requirements

• Install/Run: Instructions are available in the CLI repository.
• Prerequisites: Windows, Linux, Docker. macOS support is planned.
• Documentation: https://puchaczov.github.io/Musoq/

Highlighted Details

• Supports querying Git repositories for commit history and diffs.
• Integrates with C# Roslyn for code analysis, including metrics and patterns.
• Offers experimental support for Docker and Kubernetes.
• Includes AI integration with OpenAI (GPT) and Ollama for text extraction and analysis.

Maintenance & Community

The project is actively developed by the creator, Puchaczov. Feature requests and contributions are welcomed.

Licensing & Compatibility

Licensed under the MIT License, permitting commercial use and integration with closed-source projects.

Limitations & Caveats

Musoq prioritizes user-friendly syntax over strict SQL standard compliance and is best suited for small to medium-sized datasets. It currently only supports read operations.