rand_core
Core random number generation traits and tools for implementation.
This package has a good security score with no known vulnerabilities.
Community Reviews
Rock-solid foundation for RNG implementations with excellent trait design
The Error type is minimal but sufficient, and the documentation clearly explains trait contracts and implementation requirements. When implementing custom RNGs, the fill_bytes default implementation and next_u32/next_u64 interop work seamlessly. The impls module provides helpful adapters like BlockRng for block-based generators, significantly reducing boilerplate.
One pain point: error messages when trait bounds aren't satisfied can be cryptic for newcomers, especially distinguishing when to use RngCore vs CryptoRng. However, the crate documentation provides clear guidance on security considerations and the examples in rand show proper usage patterns that transfer well.
Best for: Building custom RNG implementations or creating libraries that need RNG trait bounds without pulling in the full rand ecosystem.
Avoid if: You just need to generate random numbers in application code—use the rand crate directly instead.
Rock-solid foundation for cryptographic and non-cryptographic RNG implementations
The error handling is straightforward with a simple Error type that wraps implementation-specific errors without leaking sensitive data. The library follows secure-by-default principles: there are no convenience functions that might encourage misuse, and the documentation is explicit about when cryptographic properties are required. The trait design forces implementers to be explicit about their security guarantees.
Dependency hygiene is exemplary—zero required dependencies for the core functionality, with only getrandom as an optional feature. This minimal footprint significantly reduces supply chain risk. The crate has had consistent, careful maintenance with security-conscious CVE responses when issues have been found in the broader ecosystem.
Best for: Building RNG implementations or libraries requiring explicit cryptographic guarantees at the type level.
Avoid if: You just need to generate random numbers in application code—use the rand crate instead.
Minimal, zero-overhead trait foundation for RNG implementations
The Error type is deliberately simple (just a NonZeroU32 code), which initially feels limiting but actually makes sense for this layer - RNG failures are rare and usually unrecoverable anyway. The impls module provides convenient utilities for implementing RNGs from various primitives (fill_bytes_via_next, etc.) that eliminate boilerplate without sacrificing control. Resource management is trivial since there's no connection pooling or cleanup needed - it's just trait implementations.
The 0.6→0.9→0.10 migration path has included breaking changes, but they've been well-documented and justified (getrandom split, BlockRngCore improvements). Once you're on a stable version, it just works indefinitely with zero maintenance burden.
Best for: Building custom RNG implementations or consuming RNGs through traits with zero runtime overhead.
Avoid if: You just need random numbers - use the rand crate itself, not this low-level trait foundation.
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