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faker-ruby/faker

This system is a Ruby library designed to generate fake, randomized data for testing and development purposes. It provides a comprehensive suite of generators for diverse domains including blockchain addresses, book and movie titles, creature names, sports teams, and popular culture references. The library is structured with lazy-loaded namespaces to optimize performance and includes a command-line interface for direct usage.

67.5

Adequate · 2 August 2026

21k

lines of production code

Ruby

primary language

47

bus factor · 1,025 authors in all

3

measurements over time

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How it got here

2007–2015 · Architecture modernization and namespace refactoring

This period was defined by a comprehensive refactoring of the codebase, most notably the transition to lazy-loaded namespaces for improved performance and memory efficiency. The project simultaneously modernized its build system, tooling, and dependency management while removing legacy files and static website assets.

11 changes

2018 · expansion of generator namespaces

This period focused on significantly expanding the Faker library's coverage by adding new generators for video games, Japanese media, movies, TV shows, and blockchain networks. The team also reorganized the codebase by migrating default generators into a unified namespace and added comprehensive test coverage for the new and existing modules.

14 changes

2019–2021 · Domain-specific data expansion

This period focused on significantly expanding the library's coverage of specialized domains, including books, quotes, sports, games, and religious texts. The work involved implementing new generators for these categories and adding corresponding test suites to ensure reliability.

11 changes

2022–2026 · Travel module expansion and tooling

This period focused on expanding the Travel module with new generators for airports and train stations, supported by comprehensive test coverage. The team also introduced performance benchmarking scripts and a pre-push hook to enforce code quality and performance standards.

5 changes

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About this page

  • The description of this project is derived from its own commit history, not from its README.
  • The score is its highest published measurement, taken on 2 August 2026 at a pinned commit. It is not a live figure and does not change until the project is measured again.
  • Measured at commit cca4184947 — the exact code this score is about.
  • Scored under rubric rubric-2026.08.18. Score the same commit under that rubric and you get the same number.
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