vadymmarkov/Fakery
:alien: Swift fake data generator observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4174
- days_rel: n/a
- days_push: 1227
- n_releases_24m: 0
Adoption not part of the score
1825 stars · 186 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Fakery is a Swift port of Ruby's Faker library that generates realistic fake data such as names, addresses, phone numbers, and company info. It supports 20+ locales and is intended for testing and development seed data.
Use cases
- generate fake user data for unit tests
- populate a database with dummy data during development
- generate locale-specific test names and addresses
- replace random character strings with realistic test data
- seed iOS app prototypes with sample data
When to choose
- you write Swift or iOS tests needing realistic dummy data
- you need localized fake data across many locales
- you want a Faker-style API in Swift
When to avoid
- you need guaranteed-unique generated values
- you work outside the Swift ecosystem
- you need actively developed features (project is in maintenance)
Facets
library · maturity maintenance
data-generation testing developer-tools testing fake-data faker-port unit-testing localization swift-package swift ios macos
2 sources
- readme: https://github.com/vadymmarkov/Fakery · fetched 2026-08-28 · 7bc7ab1e8a2b
- homepage: https://vadymmarkov.github.io · fetched 2026-08-29 · d8ab5de25e9f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| vadymmarkov/Fakery | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="vadymmarkov/Fakery")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem