R-Crypto
R-Crypto is an open-source cryptographic toolkit for the R programming language. It provides various cryptographic and hashing algorithms like AES, RSA, SHA256 etc. for data encryption, decryption, signing and verification within R.
R-Crypto: Open-Source Cryptographic Toolkit for R Programming Language
An open-source cryptographic toolkit providing various algorithms like AES, RSA, SHA256 for data encryption, decryption, signing and verification in R.
What is R-Crypto?
R-Crypto is an open-source cryptographic toolkit written purely in R that allows cryptographic and hashing operations to be performed within the R programming language. It aims to provide easy-to-use interfaces to various symmetric, asymmetric, and hashing algorithms.
Some of the key features of R-Crypto include:
- Implementation of algorithms like AES, DES, RSA, ElGamal, SHA256, SHA512 etc.
- Key generation functions for various asymmetric crypto algorithms.
- Encryption, decryption, signing, verification functions for symmetric and asymmetric encryption.
- Various hashing and MAC functions like SHA256, HMAC etc.
- Utility functions for encoding, ciphertext handling etc.
- Secure random number generation.
- Pure R implementation without calling external libraries.
R-Crypto can be useful for statisticians, data scientists and security engineers to easily incorporate encryption, hashing and signature generation capabilities into their R-based data analysis workflows. Its open-source nature allows full transparency into its working and the ability to customize as needed.
R-Crypto Features
Features
- Provides various cryptographic and hashing algorithms like AES, RSA, SHA256 etc
- Implements symmetric and asymmetric encryption and decryption
- Supports digital signatures and verification
- Has functions for key generation, key management and crypto wrappers
- Integrates seamlessly with R programming language
Pricing
- Open Source
Pros
Open source and free to use
Wide range of cryptographic algorithms supported
Easy to use R interface
Active development and maintenance
Good documentation and examples
Cons
Limited to R ecosystem only
Not as full-featured as standalone crypto libraries
Cryptographic best practices need to be implemented carefully by user
Relatively new project with limited adoption so far
Official Links
Reviews & Ratings
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