numru

A high-performance scientific computation library written in Rust.

Get Started

This getting started guide might change and should not be a source of absolute truth. Check the unit tests if you want to stay up to date with how things should be done. Some APIs will definetely be changed in the future.

[dependencies]
numru = "0.1.0"

And a simple code:

fn main() {
  let mut a = array![1, 2, 3];
  a.zeros();
  println!("{:?}", a);
}

Features

Numru will offer a variety of different numerical operations and data types. It is intended to be a fundamental library for scientific computing with Rust.

Supported Data Types

• i64
• f64

Supported Operations

Operation	NumPy Equivalent	Numru Equivalent
Zeros Array	np.zeros((2, 3))	🚧
Ones Array	np.ones((2, 3))	🚧
Arange	np.arange(start, stop, step)	🚧
Linspace	np.linspace(start, stop, num)	🚧
Mean	np.mean(a)	🚧
Min	np.min(a)	🚧
Max	np.max(a)	🚧
Exp	np.exp(a)	🚧
Log	np.log(a)	🚧
Sigmoid	1 / (1 + np.exp(-a))	🚧
Dot Product	np.dot(a, b)	🚧
Reshape	a.reshape((2, 3))	🚧
Concatenate	np.concatenate([a,b], axis=0)	🚧
Element-wise Add	a + b	🚧
Element-wise Sub	a - b	🚧
Element-wise Mul	a * b	🚧
Element-wise Div	a / b	🚧
Fancy indexing	np.ones((2,3))[0, :]	🚧
Fancy flipping	np.array([1,2,3])[::-1]	🚧

License

The MIT License.