faker-pk 0.1.7

Fake data generator for Pakistani names, CNICs, phone numbers, and addresses.

🇵🇰 faker-pk

faker-pk is a lightweight Python library that generates fake Pakistani data — including names, CNICs, phone numbers, cities, and addresses — for testing, demos, and development purposes.

It’s designed for developers who want realistic-looking Pakistani data in their applications or ML datasets.

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🧩 Installation

Install directly from PyPI:

pip install faker-pk

Or upgrade to the latest version:

pip install --upgrade faker-pk

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⚡ Quick Start

from faker_pk import FakerPK

fake = FakerPK()

print(fake.male_name())       # "Bilal Khan"
print(fake.female_name())     # "Ayesha Malik"
print(fake.cnic())            # "37405-7654321-9"
print(fake.phone_number())    # "[phone]"
print(fake.city())            # "Lahore"
print(fake.province())        # "Punjab"
print(fake.full_address())    # "House No. 45, Street No. 6, Karachi, Sindh, 75000"
print(fake.company_name())    # "Tech Solutions"

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🔁 Generate Multiple Entries

You can generate a list of fake entries by passing an integer count:

fake.male_name(5)
# ['Ali Khan', 'Usman Raza', 'Zain Qureshi', 'Ahmed Farooq', 'Sami Shah']

fake.city(3)
# ['Lahore', 'Islamabad', 'Multan']

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🧠 Features

• Realistic Pakistani male and female names
• Valid CNIC format (xxxxx-xxxxxxx-x)
• Pakistani-style phone numbers (+92xxxxxxxxxx)
• Cities and provinces from real data
• Randomized company and address generation
• Easy to extend for your own data sources

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🧩 API Reference

Function	Description	Example Output
male_name(count=1)	Generates one or more male names	['Ali Khan']
female_name(count=1)	Generates one or more female names	['Ayesha Malik']
cnic(count=1)	Generates valid CNIC numbers	['37405-1234567-8']
phone_number(count=1)	Generates Pakistani phone numbers	['[phone]']
city(count=1)	Returns cities from Pakistan	['Karachi']
province(count=1)	Returns Pakistani provinces	['Sindh']
full_address(count=1)	Returns complete fake addresses	['House No. 23, Street No. 8, Lahore, Punjab, 54000']
company_name(count=1)	Returns random company names	['TechNova Pvt Ltd']

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🧪 Example Script

from faker_pk import FakerPK

fake = FakerPK()  

for _ in range(3):
    print({
        "Name": fake.male_name(),
        "CNIC": fake.cnic(),
        "Phone": fake.phone_number(),
        "Address": fake.full_address(),
        "Company": fake.company_name()
    })

Output:

{'Name': 'Ali Raza', 'CNIC': '35201-6543210-7', 'Phone': '[phone]', 'Address': 'House No. 12, Street No. 3, Islamabad, Islamabad, 44000', 'Company': 'Techworks'}

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🛠️ Development

Clone the repository and install locally:

git clone https://github.com/Khubaib8281/faker-pk.git
cd faker-pk
pip install -e .

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🚀 Contributing

Contributions are welcome!
If you’d like to add more realistic datasets (Pakistani districts, universities, etc.), submit a pull request.

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🧾 License

This project is licensed under the MIT License.

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👤 Author

Muhammad Khubaib Ahmad
📧 [e-mail]
🌐 GitHub: Khubaib8281

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⭐ Support

If you find this library useful, consider giving it a star on GitHub to support development!

👉 https://github.com/Khubaib8281/faker-pk