3 releases

0.1.2 Aug 30, 2018
0.1.1 Aug 29, 2018
0.1.0 Aug 28, 2018

#1027 in Data structures

Download history 20/week @ 2022-11-28 50/week @ 2022-12-05 48/week @ 2022-12-12 54/week @ 2022-12-19 27/week @ 2022-12-26 11/week @ 2023-01-02 35/week @ 2023-01-09 13/week @ 2023-01-16 55/week @ 2023-01-23 71/week @ 2023-01-30 27/week @ 2023-02-06 48/week @ 2023-02-13 44/week @ 2023-02-20 71/week @ 2023-02-27 46/week @ 2023-03-06 25/week @ 2023-03-13

204 downloads per month
Used in 2 crates


315 lines

Simple-Matrix: A simple generic matrix library in Rust

crates.io docs.rs

Who, What & Why?

  • Who?
    • I am a French student that is interested in programming (and in Rust for a couple months).
  • What?
    • It is a simple matrix library in Rust without dependencies.
    • It has no intention to be the best/fastest/most feature-complete.
    • Though, if optimizations keep the API simple, they will be included.
  • Why?
    • To be better in Rust and discover some of its numerous aspects.
    • To create a simple and reliable matrix library.


This crate should not be considered mature enough for professional use, check alternatives like cgmath or nalgebra if you are in that case.

If you are still interested, feel free to continue!


Link it in your project's Cargo.toml file:

# Example Cargo.toml

simple-matrix = "0.1"

Then, you can use it in your project:

Rust 2015

// Specify the extern crate in your lib.rs or main.rs
extern crate simple_matrix;

// You can now use it
use simple_matrix::Matrix;

let mat: Matrix<i32> = Matrix::new();

Rust 2018

// No need to specify an extern crate
// You can use it directly
use simple_matrix::Matrix;

let mat: Matrix<i32> = Matrix::new();

Example: Basic matrix usage

// Create a matrix of default cells
let zero: Matrix<u32> = Matrix::new(3, 3);

// Create a 2x4 matrix from an iterator (fill it row by row)
let mat1: Matrix<u32> = Matrix::from_iter(2, 4, 0..);

// Clone a matrix
let mat2 = mat1.clone();

// Add by reference (do not consume them)
let mut add = &mat1 + &mat2;

// Subtract by value (consume them)
let mut sub = mat1 - mat2;

// OpAssign are also available
sub += &zero;
sub -= zero;

// Get cells
let val: &u32 = add.get(0, 3).unwrap();

// Set cells
add.set(0, 3, 0);

// Iterate through the matrix (row by row)
for val in add {
    print!("{} ", val);

Example: Dot product

let mat: Matrix<f64> = Matrix::from_iter(2, 4, 0..);

// Construct the transposed matrix
let mat_t = mat.transpose();

// Construct the dot product
let dot = mat * mat_t;


  • Features are extensions of the library left to opt-in by the user.
  • They can increase compilation time and library size.

To include a feature, add it to your Cargo.toml file:

# Example Cargo.toml with added feature (replace values with your own)

simple-matrix = { version = "0.1", features = ["impl_from"] }

Current available features are listed below with a little description:


Implements the From Trait for basic numeric types.

let m1: Matrix<i8> = Matrix::new(3, 5);
let m2: Matrix<i64> = m1.into();


  • Run cargo test in the root of the project
  • Documentation tests are disabled for now (rustdoc does not seem to work with edition 2018)


  • Run cargo bench in the root of the project
  • Benchmarks are handled by the Criterion crate, check its documentation for more detailled usage.

Thoses benchmarks are not designed for comparison to other matrix crates, but for tracking speed-ups/regressions. Comparison benchmarks are left as an exercice to the reader.

Want to participate?

Create a new issue or a pull request and I will check them (as soon as I can).

No runtime deps