A Rust library for random number generation, featuring:

• Easy random value generation and usage via the Rng, SliceRandom and IteratorRandom traits
• Secure seeding via the getrandom crate and fast, convenient generation via thread_rng
• A modular design built over rand_core (see the book)
• Fast implementations of the best-in-class cryptographic and non-cryptographic generators
• A flexible distributions module
• Samplers for a large number of random number distributions via our own rand_distr and via the statrs
• Portably reproducible output
• #[no_std] compatibility (partial)
• Many performance optimisations

It's also worth pointing out what rand is not:

• Small. Most low-level crates are small, but the higher-level rand and rand_distr each contain a lot of functionality.
• Simple (implementation). We have a strong focus on correctness, speed and flexibility, but not simplicity. If you prefer a small-and-simple library, there are alternatives including fastrand and oorandom.
• Slow. We take performance seriously, with considerations also for set-up time of new distributions, commonly-used parameters, and parameters of the current sampler.

Documentation:

• The Rust Rand Book
• API reference (master branch)
• API reference (docs.rs)

Add this to your Cargo.toml:

[dependencies]
rand = "0.8.5"

To get started using Rand, see The Book.

Rand is mature (suitable for general usage, with infrequent breaking releases which minimise breakage) but not yet at 1.0. Current versions are:

• Version 0.8 was released in December 2020 with many small changes.
• Version 0.9 is in development with many small changes.

See the CHANGELOG or Upgrade Guide for more details.

Rand is built with these features enabled by default:

• std enables functionality dependent on the std lib
• alloc (implied by std) enables functionality requiring an allocator
• getrandom (implied by std) is an optional dependency providing the code behind rngs::OsRng
• std_rng enables inclusion of StdRng, thread_rng and random (the latter two also require that std be enabled)

Optionally, the following dependencies can be enabled:

• log enables logging via log

Additionally, these features configure Rand:

• small_rng enables inclusion of the SmallRng PRNG
• nightly includes some additions requiring nightly Rust
• simd_support (experimental) enables sampling of SIMD values (uniformly random SIMD integers and floats), requiring nightly Rust

Note that nightly features are not stable and therefore not all library and compiler versions will be compatible. This is especially true of Rand's experimental simd_support feature.

Rand supports limited functionality in no_std mode (enabled via default-features = false). In this case, OsRng and from_os_rng are unavailable (unless getrandom is enabled), large parts of seq are unavailable (unless alloc is enabled), and thread_rng and random are unavailable.

Many (but not all) algorithms are intended to have reproducible output. Read more in the book: Portability.

The Rand library supports a variety of CPU architectures. Platform integration is outsourced to getrandom.

Seeding entropy from OS on WASM target wasm32-unknown-unknown is not automatically supported by rand or getrandom. If you are fine with seeding the generator manually, you can disable the getrandom feature and use the methods on the SeedableRng trait. To enable seeding from OS, either use a different target such as wasm32-wasi or add a direct dependency on getrandom with the js feature (if the target supports JavaScript). See getrandom#WebAssembly support.

Rand is distributed under the terms of both the MIT license and the Apache License (Version 2.0).

See LICENSE-APACHE and LICENSE-MIT, and COPYRIGHT for details.