A versatile mock data and entertainment content generator ported to Python.
Project description
fakedata (Python)
A high-performance, zero-dependency mock data generation engine ported to Python. Designed for testing, prototyping, and local development.
Whether you're building a backend prototype, seeding a database with thousands of records, or developing complex data-driven tests, fakedata provides a structured API for generating high-quality synthetic data across multiple domains.
Key Features
- Zero External Dependencies: Uses only Python standard libraries (
json,random,pathlib). - Modular Architecture: Separate namespaces for data, entertainment, anime, and biology.
- Rich Datasets: Bundled with comprehensive JSON assets (Pokemon, Users, Industry-standard resumes).
- Type Hinting: Built-in support for IDE intellisense.
- Fast Execution: Optimized for generating large datasets with minimal overhead.
Installation
Install the package locally:
pip install .
Quick Start
import fakedata
# 1. Generate a comprehensive user profile
user_profile = fakedata.data.user()
print(f"Identity: {user_profile['fullName']} | City: {user_profile['address']['city']}")
# 2. Fetch specialized entertainment data
pokemon = fakedata.fun.pokemon()
random_joke = fakedata.fun.joke()
# 3. Filter specific anime content
naruto_quotes = fakedata.anime.quotes_by_show('Naruto')
API Documentation
Data Module (fakedata.data)
Focused on professional-grade mock data for PII and enterprise simulations.
| Method | Return Type | Description |
|---|---|---|
user() |
dict |
Generates a full profile (Personal Details, Address, Job, Bank Info). |
users(count) |
list |
Returns a list of n unique user profiles. |
creditcard() |
dict |
Generates realistic credit card data (Number, Expiry, CVV). |
resume(count) |
list |
Mock professional resumes with skills, experience, and education. |
get_password(len) |
dict |
Secure random password generator (default length: 8). |
get_email() |
dict |
Randomly generated email address. |
get_city() |
dict |
Global city name. |
Fun (fakedata.fun)
Dynamic content for gaming and entertainment applications.
| Method | Return Type | Description |
|---|---|---|
pokemon() |
dict |
Returns a random Pokemon with full stats, types, and abilities. |
pokemon_by_type(t) |
dict |
Filters Pokemon by specific type (e.g., 'Fire', 'Water'). |
joke() |
dict |
Randomly selected joke across various categories. |
fact() |
dict |
General knowledge facts for engagement. |
fortune() |
dict |
Philosophical or funny fortune cookies. |
Anime Module (fakedata.anime)
Curated datasets for anime-themed projects.
| Method | Return Type | Description |
|---|---|---|
quote() |
dict |
Iconic quotes with character and show attribution. |
quotes_by_show(s) |
dict |
All available quotes from a specific anime title. |
fact() |
dict |
Specialized trivia regarding anime history and trivia. |
Animals Module (fakedata.animals)
Simple biological data and interesting facts.
| Method | Return Type | Description |
|---|---|---|
random_animal() |
dict |
Returns a random animal profile. |
dog_fact() |
dict |
Canine-specific trivia and biological facts. |
cat_fact() |
dict |
Feline-specific trivia and statistics. |
Testing
To run the local test suite:
python test_python.py
Development & Contributions
Contributions are welcome! If you'd like to add new datasets or modules, please follow these steps:
- Clone the repository.
- Implement your changes in
fakedata/modules/. - Add relevant tests in
tests/. - Submit a Pull Request.
License
Distributed under the MIT License. See LICENSE for more information.
Maintainer: abhay557
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