elixirs/faker

This system is a comprehensive data generation library that produces realistic mock data across a wide variety of domains, including personal information, finance, internet, and specialized categories like blockchain and government IDs. It supports multiple locales and languages, allowing users to generate localized content such as names, addresses, and company details. The library provides a consistent, configurable API for creating test data, supported by extensive automated testing and modern build tooling.

This period focused on significantly expanding the Faker library's capabilities by adding numerous new data generators for domains like address, finance, and internet, alongside support for multiple languages and locales. The work also established a robust development infrastructure, introducing Credo for static analysis, semantic-release for automation, and comprehensive test coverage for the new modules.

10 changes

This period focused on expanding the library's coverage by adding localized data generators for multiple languages, including color, phone, and Pokemon names. It also introduced new categories of mock data such as Star Wars characters, superheroes, and government identifiers like IBANs and SSNs.

7 changes

This period focused on expanding the Faker library's localization support by adding new modules for English, Spanish, French, Armenian, Italian, and Brazilian Portuguese across various domains such as addresses, names, and specific entities like cats and dogs. It also introduced new data generation capabilities for blockchain addresses, stock tickers, and AWS regions, broadening the library's utility for international and specialized testing scenarios.

10 changes

elixirs/faker was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point the surveyor at a repository you know and see whether you agree with it.