joke2k/faker
Faker is a Python package that generates fake data for you. observed · 2026-08-28
Health v2 · maintenance only
94/100
- Activity 98
- Release rhythm 86
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 5042
- days_rel: 12
- days_push: 12
- n_releases_24m: 124
Adoption not part of the score
19380 stars · 2110 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Faker is a Python library that generates realistic fake data such as names, addresses, and text. It is commonly used to seed databases, create test fixtures, and anonymize production data.
Use cases
- generate fake user names and addresses for tests
- seed a database with realistic sample data
- create test fixtures for unit tests
- anonymize production data for development
- generate sample XML or JSON documents
- stress test persistence layers with bulk data
When to choose
- you need realistic-looking fake data in Python
- you want to populate a dev or staging database
- you need locale-specific fake data
- you want to anonymize data taken from production
When to avoid
- you need real, verified user data
- you need cryptographically secure random values
- you work outside the Python ecosystem
Facets
library · maturity stable
data-generation testing mocking developer-tools testing data-science python cross-platform fake-data test-data-generator seed-data data-anonymization python-package
2 sources
- readme: https://github.com/joke2k/faker · fetched 2026-08-28 · cce2f367dab5
- homepage: https://faker.readthedocs.io · fetched 2026-08-29 · 31b270d77e54
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| joke2k/faker | main | 94 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem