Faker

Faker

@faker-rubyWe're committed to offering the best faker generators.

Updated: 2026-04-09(2d ago)GitHub API fallback1 repositories

Portfolio Shape

100%

of the visible star count comes from this organization's top three repositories.

Average Repository Size

11.6K

stars per repository in this same snapshot.

Current Mix

Ruby

is the most common language here, with 1 repositories updated in the last 90 days.

Why this rank

This organization stands out because one flagship repo drives 100% of its visible star count.

Flagship share 100%Breakout repo: faker

Organization pages work best when you separate portfolio breadth from flagship concentration. In Faker's case, the visible top three repositories account for about 100% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.

The dominant language mix here is Ruby (1). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.

Source: GitHub API fallback. This is the same cache-first snapshot used by the organization ranking list, so the summary view and the detail view should stay aligned.

Top Repositories

#RepositoryLanguage⭐ Stars
1faker-ruby/faker

A library for generating fake data such as names, addresses, and phone numbers.

Ruby11.6K

How to Read This Snapshot

Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.

For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.