npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

vectorious

v6.1.14

Published

A high performance linear algebra library.

Downloads

1,312

Readme

Installation

Follow the installation instructions in nlapack and nblas to get maximum performance.

# with C++ bindings
$ npm install vectorious

# or, if you don't want C++ bindings
$ npm install vectorious --no-optional

There are three output bundles exposed in this package.

CommonJS

A node.js bundle, can be found in dist/index.js and imported with the require() syntax:

const v = require('vectorious');

Browser

A browser bundle, can be found in dist/index.browser.js and imported with the <script> tag:

<script src="dist/index.browser.js" />

It exposes a global variable named v in the window object and can be accessed like this:

<script>
  const x = v.array([1, 2, 3]);
</script>

ES module

Added in version 6.1.0, vectorious exposes an ES module bundle at dist/index.mjs which can be imported using the import syntax:

import { array } from 'vectorious';

const x = array([1, 2, 3]);

Usage

Unless stated otherwise, all operations are in-place, meaning that the result of the operation overwrites data in the current (or in the static case leftmost) array. To avoid this, an explicit copy call is needed before the operation (copy(x) or x.copy()).

import { array, random, range } from 'vectorious';

// Create a random 2x2 matrix
const x = random(2, 2);
/*
array([
  [
    0.26472008228302,
    0.4102575480937958
  ],
  [
    0.4068726599216461,
    0.4589384198188782
  ]
], dtype=float64)
*/

// Create a one-dimensional vector with values from
// 0 through 8 and reshape it into a 3x3 matrix
const y = range(0, 9).reshape(3, 3);
/*
array([
  [ 0, 1, 2 ],
  [ 3, 4, 5 ],
  [ 6, 7, 8 ]
], dtype=float64)
*/

// Add the second row of x to the first row of x
y.slice(0, 1).add(y.slice(1, 2));
/*
array([
  [ 3, 5, 7 ],
  [ 3, 4, 5 ],
  [ 6, 7, 8 ]
], dtype=float64)
*/

// Swap the first and second rows of x
y.swap(0, 1);
/*
array([
  [ 3, 4, 5 ],
  [ 3, 5, 7 ],
  [ 6, 7, 8 ]
], dtype=float64)
*/

// Create a 2x2x1 tensor
const z = array([
  [[1], [2]],
  [[3], [4]],
]);
/*
array([
  [ [ 1 ], [ 2 ] ],
  [ [ 3 ], [ 4 ] ]
], dtype=float64)
*/

Documentation

Examples

Basic

Machine learning

Testing

All functions are accompanied with a .spec.ts file.

The Jest testing framework is used for testing and the whole test suite can be run using a single command:

$ npm test

Benchmarks

All functions are accompanied with a .bench.ts file.

Run all benchmarks with:

$ npm run benchmark

Or for a single function with:

$ npx ts-node src/core/abs.bench.ts