# faker-ruby/faker

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

Repository: https://github.com/faker-ruby/faker
Canonical: https://ross.abutalabs.com/products/faker-ruby-faker
Language: Ruby
License: MIT
License Family: permissive
Topics: fake, ruby
Last push: 2026-08-19T23:42:33+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 68, longevity 100
- inputs: {"age_days": 6461, "days_push": 14, "days_rel": 139, "gap_med": 45.5, "n_releases_24m": 7}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 11935, forks 3217 (observed 2026-08-28T04:10:50.512340+00:00)

## What it is
A Ruby library for generating realistic fake data such as names, addresses, emails, phone numbers, and finance details. It supports over 40 locales and is commonly used to populate databases and create test fixtures.

## Use cases
- generate fake user names and emails for tests
- populate a development database with sample data
- create realistic demo data for a prototype
- generate localized addresses and phone numbers
- seed test fixtures with random data
- generate fake finance and transaction records

## When to choose
- you are building a Ruby application and need test or seed data
- you want locale-aware fake names, addresses, and phone numbers
- you need a mature, widely adopted data generation library

## When to avoid
- you need fake data in a non-Ruby language
- you need anonymization of real production data rather than synthetic data
- you require guaranteed-unique or cryptographically safe fake identities

## Facets
- artifact type: library
- maturity: stable
- function: data-generation, testing
- domain: developer-tools, testing
- platform: ruby
- tags: fake-data, test-data, seed-data, localization, ruby-gem

## Member repositories
- faker-ruby/faker (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:50.512340+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:15:03.498493+00:00, confidence not recorded.
  - readme: https://github.com/faker-ruby/faker (fetched 2026-08-28T04:10:50.512340+00:00, sha 89faf69ac155)
- Data as of 2026-08-30T08:39:29.467469+00:00.