Database Data Seeder Generator

关于

This skill empowers developers to quickly populate databases with high-quality, realistic sample data using Faker libraries while maintaining complex relational integrity. By analyzing existing schemas, it generates consistent records across multiple tables, creates idempotent SQL or JavaScript seed scripts, and allows for configurable data volumes. It is an essential tool for setting up local development environments, powering automated integration tests, and creating believable product demonstrations without using sensitive production data.

主要功能

• Automated schema analysis to understand table structures and constraints
• Configurable data volumes to scale from small samples to large test sets
• Generation of idempotent seed scripts in multiple formats including SQL and TypeORM
• Relational integrity maintenance to ensure valid foreign key connections
• 884 GitHub stars
• Realistic data generation using integrated Faker libraries for various data types

使用场景

• Creating sanitized demonstration environments for stakeholders with realistic-looking content
• Generating consistent and repeatable datasets for automated end-to-end testing suites
• Populating a local development database with believable user, post, and transaction records