DataSpark Technical Summary DataSpark is a comprehensive .NET 10 toolkit designed for SQLite database analysis and code generation, offering both CLI and ASP.NET Core MVC web interfaces for database discovery, inspection, CSV export, and automated C# DTO generation. The project follows a modular architecture with separated concerns across five components—a console application, core library, web UI, test suite, and performance benchmarks—enabling flexible deployment and reusability across different consumption patterns. Built with modern .NET technologies including Entity Framework integration for database access and BenchmarkDotNet for performance validation, it provides enterprise-grade features such as schema reporting in multiple formats (text, JSON, Markdown), batch table exports, persistent file management, and intelligent code generation with customizable namespacing. The solution demonstrates best practices through comprehensive test coverage (with CI/CD via GitHub Actions), a professional web interface for non-technical users, and a powerful CLI for automation and scripting scenarios, making it suitable for database administrators, developers migrating legacy systems, and organizations requiring bulk DTO generation from SQLite schemas. Despite its stale repository status (no activity in 90 days), the live deployment at data.makeboldspark.com and MIT licensing position it as a practical reference implementation and potentially usable tool for SQLite database tooling workflows.