Mongo Seeding

Supports JSON, JavaScript, and TypeScript files, enabling logic-based data generation and reduced redundancy, as demonstrated in the README with dynamic arrays and randomization examples.

Provides compile-time data model validation, catching errors in the IDE before runtime, which improves data integrity and reduces debugging, especially when reusing application models.

Offers a library, CLI, and Docker image, catering to various workflows from programmatic use to containerized environments, as highlighted in the tools section.

Allows using JavaScript to create realistic, randomized sample data, essential for testing, as shown with helper functions and random value generation in the examples.