TypeScript library for generating statistically significant fake data
Strictly TypeScript first with everything extensivly typed for a better developer experience
Test results will be consistent every time. This makes it easier to identify and fix issues that arise during testing
Ensure the initial state of the application is consistent for testing and for rapid database population
Accuracy, reliability and confidence is key. If your real-world data has statistical significance, then why shouldn't your testing data?
Reduce the time it takes to test, populate databases with lightweight overhad for generating fake data
Accurate test data ensures that the software performs as intended in real-world scenarios and in production environments