Faker
Popular library for generating fake but realistic data such as names, addresses, emails, dates, text, and more for testing and prototyping.
78
Hero Score
Popularity
88
Performance
30
Ecosystem
100
Maturity
85
Dev Experience
85
⭐ 19,252 stars⬇ 13.1M downloads/wkFirst release: Nov 2012Last release: May 2026
Async Support: NoPlugin Extensions: Very highSpeed: MediumDoc Quality: HighLearning Curve: Easy
Pros
- • Extremely easy to use with a huge catalog of data providers
- • Strong locale support for international data generation (90+ locales)
- • Large ecosystem of community providers and pytest integration
Cons
- • Random data only with no statistical realism or correlations
- • Slower than Mimesis for large-scale data generation
- • Not suitable for privacy-preserving or production-like datasets