Generate a truly random hexadecimal string.
Quantum Random Number Generator library for OTPs, email, and SMS verification.
A quantum random number generator for node.js.
Auditable & minimal JS implementation of post-quantum cryptography: FIPS 203, 204, 205, Falcon
Audited & minimal 0-dependency JS implementation of SHA, RIPEMD, BLAKE, HMAC, HKDF, PBKDF & Scrypt
Quantum Random Number Generator library for OTPs, email, and SMS verification.
A Quantum Random Number Generator for Node.js
Audited & minimal JS implementation of elliptic curve cryptography
Audited & minimal JS implementation of Salsa20, ChaCha and AES
Provides random using several random generators: JS default Math.random(), Quantum random and RandomOrg random
Bitcoin BIP39: Mnemonic code for generating deterministic keys with quantum random numbers used for generating entropy.
Quantum random number SDK
Generate random numbers from various distributions.
Fastest random ID and random string generation for Node.js
TypeScript definitions for d3-random
A wrapper for the quantum random number generator by Chris Bumgardner (@chrisbumgardner).
URL and cookie safe UIDs
Performant search algorithm optimized for descriptive texts
Use the random function in CSS
An alias package for `crypto.randomBytes` in Node.js and/or browsers
Generate a cryptographically strong random string
Random utility functions for ethers.
A Pulumi package to safely use randomness in Pulumi programs.
Quey Quantum Random Number Generator (QRNG) SDK
This is the rust implementation of the ANU Quantum Random Number System. You can easily generate an arbitrary number of u8's, u16's, u32's, u64's, and u128's
This is the rust implementation of the ANU Quantum Random Number System. You can easily generate an arbitrary number of u8's, u16's, u32's, u64's, and u128's
Please see http://qrng.anu.edu.au/FAQ.php#api for more information on the bare JSON API, as well as the science behind it.
qrng.anu.edu.au offers true random numbers to anyone on the internet. The random numbers are generated in real-time in our lab by measuring the quantum fluctuations of the vacuum. The vacuum is described very differently in the quantum mechanical context than in the classical context. Traditionally, a vacuum is considered as a space that is empty of matter or photons. Quantum mechanically, however, that same space resembles a sea of virtual particles appearing and disappearing all the time. This result is due to the fact that the vacuum still possesses a zero-point energy. Consequently, the electromagnetic field of the vacuum exhibits random fluctuations in phase and amplitude at all frequencies. By carefully measuring these fluctuations, we are able to generate ultra-high bandwidth random numbers.
Ruby C extension wrapping the ML-DSA post-quantum digital signature algorithm (NIST FIPS 204, formerly CRYSTALS-Dilithium). Bundles the PQClean clean C implementation for all three parameter sets: ML-DSA-44 (NIST Level 2), ML-DSA-65 (Level 3), and ML-DSA-87 (Level 5). Supports both hedged (randomized) and deterministic signing modes.
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