datagen is a tool to generate coherent, synthetic data generation from models expressed in a simple, declarative DSL.
Watch the Demo
Salient features:
- A declarative DSL for defining data models with Go-like syntax
- High performance through transpilation to native Go code
- Multiple output formats (CSV, JSON, XML, stdout)
- Database integration with direct loading to MySQL
- Model relationships via cross-references using
self.datagen - Tag-based filtering for selective data generation
- Built-in functions for common data items
Install
See the Installation Guide for detailed installation instructions.
Usage
You can launch datagen for trying it out with:
# Create a simple model file cat > user.dg << 'EOF' model user { metadata { count: 100 } fields { id() int name() string } gens { func id() { return iter + 1 } func name() { return Name() } } } EOF # Generate data datagenc gen user.dg -f csv -o ./output
this will generate a user.csv file in output directory with 100 user records.
More information
- See the Documentation for details
Contributing
Refer to CONTRIBUTING.md
License
MIT License, see LICENSE.