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credit-card-type: Determine Credit Card Type

Identifies credit card types from partial or full numbers. This library uses type-as-you-go detection and supports Node.js, io.js, and the browser for flexible integration.
Screenshot of braintree/credit-card-type homepage

Credit Card Type enables determination of credit card types from card numbers, whether complete or partial. This utility focuses on identifying card brands and is suited for building validation or UI components. The library leverages a pattern matching approach to detect various card types like Visa, Mastercard, and American Express.

The library's design prioritizes flexibility by supporting partial card number detection and multiple formats. It offers a clear API for identifying card types and accessing associated details like security codes and lengths. The modular structure allows for easy extension with custom card types, enhancing adaptability to evolving payment systems.

  • Partial Number Support: Detects card types from incomplete card numbers, providing flexibility in user input scenarios.
  • Multiple Platform Support: Compatible with Node.js, io.js, and browser environments for broad application.
  • Extensible Card Types: Allows users to add custom card types, expanding functionality beyond the built-in brands.
  • Detailed Card Information: Returns details such as card type code, security code type and size, and expected gaps within card numbers.
  • Easy Integration: Offers both CommonJS and ES6 module interfaces for seamless integration into existing projects.
  • Pattern Detection: Utilizes pattern matching to identify card types, supporting both fixed number ranges and number ranges.
  • Developer-Friendly API: Provides clear and concise API methods, simplifying the process of retrieving card type information.

The project demonstrates stable development with consistent updates and a good level of documentation. Recent commits indicate active maintenance and bug fixes. The presence of unit tests and a clear API design suggest a reliable and well-supported codebase. The community support is indicated by the number of stars and forks.

This project benefits developers building payment processing, e-commerce, or data analysis applications. It addresses the need for robust and flexible credit card type detection, simplifying validation and enabling more informed business logic. By providing detailed card information and supporting partial numbers, it offers a valuable alternative to manual card type mapping.

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Stars
1,038
Forks
156
Issues
13
Created
11 years ago
Commit
2 months ago
License
MIT
Archived
No
Updated 6 days ago

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