creditcard-identifier 2.3.0

Credit card BIN validation using bin-cc data

Credit Card Identifier - Python Library

Python library for credit card BIN validation and identification.

Supported Card Brands

• American Express (amex)
• Aura
• BaneseCard
• Diners Club
• Discover
• Elo
• Hipercard
• JCB
• Maestro
• Mastercard
• UnionPay
• Visa

Installation

pip install creditcard-identifier

Usage

Module Functions

from creditcard_identifier import find_brand, is_supported

# Identify card brand
brand = find_brand('4012001037141112')
print(brand)  # {'name': 'visa', 'regexp_bin': '...', ...}

# Check if card is supported
supported = is_supported('4012001037141112')
print(supported)  # True

Using the Validator Class

from creditcard_identifier import CreditCardValidator

validator = CreditCardValidator()

# Identify brand
brand = validator.find_brand('4012001037141112')
print(brand['name'])  # 'visa'

# Get detailed brand info
detailed = validator.find_brand('4012001037141112', detailed=True)
print(detailed['scheme'])  # 'visa'
print(detailed['matched_pattern'])  # {'bin': '^4', 'length': [13, 16, 19], ...}

# Check if supported
supported = validator.is_supported('4012001037141112')
print(supported)  # True

# Validate CVV
valid = validator.validate_cvv('123', 'visa')
print(valid)  # True

# Get brand info
info = validator.get_brand_info('visa')
print(info['regexp_bin'])

# Get detailed brand info
detailed = validator.get_brand_info_detailed('amex')
print(detailed)

# List all brands
brands = validator.list_brands()
print(brands)
# ['amex', 'aura', 'banesecard', 'diners', 'discover', 'elo', 'hipercard', 'jcb', 'maestro', 'mastercard', 'unionpay', 'visa']

# Validate card number using Luhn algorithm
from creditcard_identifier.validator import luhn
is_valid = luhn('4012001037141112')
print(is_valid)  # True

# Or using validator instance
is_valid = validator.luhn('4012001037141112')
print(is_valid)  # True

API

Module Functions

find_brand(card_number, detailed=False)

Identify the credit card brand.

Parameters:

• card_number (str): The credit card number
• detailed (bool): If True, returns detailed brand info (default: False)

Returns: (dict) Brand dict or None if not found

is_supported(card_number)

Check if the card number is supported.

Parameters:

• card_number (str): The credit card number

Returns: (bool) True if supported, False otherwise

CreditCardValidator Class

__init__()

Initialize validator with embedded brand data.

find_brand(card_number, detailed=False)

Identify the credit card brand.

Parameters:

• card_number (str): The credit card number
• detailed (bool): If True, returns detailed brand info with matched pattern

Returns: (dict) Brand dict or None if not found

is_supported(card_number)

Check if card number is supported.

Parameters:

• card_number (str): The credit card number

Returns: (bool) True if supported, False otherwise

validate_cvv(cvv, brand_or_name)

Validate CVV for a specific brand.

Parameters:

• cvv (str): CVV code
• brand_or_name (str | dict): Brand name or brand dict from find_brand

Returns: (bool) True if valid, False otherwise

get_brand_info(brand_name)

Get information about a specific brand.

Parameters:

• brand_name (str): Brand name

Returns: (dict) Brand information or None if not found

get_brand_info_detailed(scheme)

Get detailed information about a specific brand.

Parameters:

• scheme (str): Scheme name (e.g., 'visa', 'mastercard')

Returns: (dict) Detailed brand information or None if not found

list_brands()

List all supported brands.

Returns: (list) List of brand names

luhn(number)

Validate a credit card number using the Luhn algorithm.

Parameters:

• number (str): Credit card number (digits only)

Returns: (bool) True if valid according to Luhn algorithm

Raises: TypeError if input is not a string

Data Source

This library uses the BIN data from the bin-cc project.

The data is embedded directly in the package for optimal performance.

Development

Install in Development Mode

cd libs/python
pip install -e .

Run Tests

python -m pytest tests/

License

MIT