Crates.io | libnoise |
lib.rs | libnoise |
version | 1.1.2 |
source | src |
created_at | 2023-08-09 19:05:51.052226 |
updated_at | 2024-02-28 12:23:11.165863 |
description | A simple, performant, and customizable procedural noise generation library. |
homepage | https://github.com/cookiephone/libnoise-rs |
repository | https://github.com/cookiephone/libnoise-rs |
max_upload_size | |
id | 940262 |
size | 6,973,823 |
A simple, performant, and customizable procedural noise generation library inspired by libnoise for C++ featuring:
Source
Generator
traitNoiseBuffer
and much of the generator complexity resolving at
compile timeVisualizer
Libnoise provides utilities to generate coherent noise and customize them by applying a variety of operations which modify and combine generators. With a focus on customizability, the library allows users to create custom generators and modifiers.
Most immediately relevant documentation can be found in
Source
and
Generator
docs.
First, add the dependency to your project by editing your Cargo.toml
:
[dependencies]
libnoise = "1.1"
To get started easily, create a source generator using one of the many
sources found in Source
,
and apply adapters documented in Generator
.
For a more detailed introduction, see the quickstart guide.
use libnoise::prelude::*;
// build a simplex noise generator seeded with 42
let generator = Source::simplex(42);
// sample the generator for input point [0.2, 0.5]
let value = generator.sample([0.2, 0.5]);
Note how the dimensionality, which is internally represented as a constant generic argument, is automatically inferred by sampling the generator with a 2-dimensional input point.
Naturally, we can create more interesting complex generators:
use libnoise::prelude::*;
// build a generator
let generator = Source::simplex(42) // start with simplex noise
.fbm(5, 0.013, 2.0, 0.5) // apply fractal brownian motion
.blend( // apply blending...
Source::worley(43).scale([0.05, 0.05]), // ...with scaled worley noise
Source::worley(44).scale([0.02, 0.02])) // ...controlled by other worley noise
.lambda(|f| (f * 2.0).sin() * 0.3 + f * 0.7); // apply a closure to the noise
// sample the generator for input point [0.2, 0.5]
let value = generator.sample([0.2, 0.5]);
We can also use NoiseBuffer
for efficiently filling n-dimensional arrays
with noise, and Visualizer
to get a visual representation of a given
generator. The above generator produces the following image, when sampled for
every pixel position:
It is common to interpret the 3rd or 4th dimension as time, allowing us to produce space-time noise such as:
Contributors and feature suggestions are welcome!
Should you want to contact me directly, it is best via discord (username: oogie).
Libnoise is distributed under the terms of the MIT license.
See LICENSE-MIT for details.