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monet.js - Monadic types library for JavaScript

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Quick Overview

Monet.js is a JavaScript library that brings functional programming concepts to JavaScript. It provides a set of monadic types and utility functions to help developers write more composable and expressive code, especially when dealing with asynchronous operations and error handling.

Pros

  • Enhances JavaScript with functional programming paradigms
  • Improves error handling and null-checking with Maybe and Either types
  • Simplifies asynchronous code with IO and Task monads
  • Provides a consistent API across different monadic types

Cons

  • Steep learning curve for developers unfamiliar with functional programming concepts
  • May introduce unnecessary complexity for simpler projects
  • Limited community support compared to more mainstream libraries
  • Potential performance overhead for extensive use of monadic operations

Code Examples

  1. Using Maybe to handle null checks:
import { Maybe } from 'monet';

const getName = (user) => Maybe.fromNull(user).map(u => u.name).orJust('Anonymous');

const user1 = { name: 'Alice' };
const user2 = null;

console.log(getName(user1)); // Just('Alice')
console.log(getName(user2)); // Just('Anonymous')
  1. Using Either for error handling:
import { Either } from 'monet';

const divide = (a, b) => 
  b === 0 ? Either.Left('Division by zero') : Either.Right(a / b);

console.log(divide(10, 2).map(x => x * 2)); // Right(10)
console.log(divide(10, 0).map(x => x * 2)); // Left('Division by zero')
  1. Using IO for side effects:
import { IO } from 'monet';

const getRandomNumber = IO(() => Math.random());
const logNumber = (n) => IO(() => console.log(n));

const program = getRandomNumber.chain(logNumber);

program.run(); // Logs a random number to the console

Getting Started

To start using Monet.js in your project, follow these steps:

  1. Install the library using npm:
npm install monet
  1. Import the desired types in your JavaScript file:
import { Maybe, Either, IO } from 'monet';
  1. Start using the monadic types in your code:
const maybeValue = Maybe.fromNull(someValue)
  .map(v => v * 2)
  .orJust('Default');

const result = Either.try(() => riskyOperation())
  .map(successHandler)
  .catchMap(errorHandler);

const sideEffect = IO(() => console.log('Hello, Monet.js!'));
sideEffect.run();

Competitor Comparisons

101,622

JavaScript 3D Library.

Pros of three.js

  • Extensive 3D graphics capabilities for web applications
  • Large, active community with frequent updates and contributions
  • Comprehensive documentation and numerous examples

Cons of three.js

  • Steeper learning curve due to complexity
  • Larger file size, which may impact load times for web applications

Code Comparison

three.js (3D scene creation):

const scene = new THREE.Scene();
const camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000);
const renderer = new THREE.WebGLRenderer();
renderer.setSize(window.innerWidth, window.innerHeight);
document.body.appendChild(renderer.domElement);

monet.js (Monadic operations):

const maybeValue = Maybe.Some(5)
  .map(x => x * 2)
  .flatMap(x => Maybe.Some(x + 1));
console.log(maybeValue.getOrElse(0));

Summary

three.js is a powerful 3D graphics library for web development, offering extensive features and community support. However, it comes with a steeper learning curve and larger file size. monet.js, on the other hand, focuses on functional programming concepts and monadic operations, providing a different set of tools for JavaScript developers. The choice between the two depends on the specific needs of the project, with three.js being more suitable for 3D graphics and monet.js for functional programming paradigms.

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Pros of PixiJS

  • Robust 2D rendering engine with WebGL support, offering high performance for complex graphics and animations
  • Extensive documentation, large community, and numerous plugins/extensions
  • Designed specifically for interactive graphics and game development

Cons of PixiJS

  • Larger file size and potentially steeper learning curve for simple projects
  • May be overkill for basic functional programming or non-graphical applications

Code Comparison

PixiJS (graphics-focused):

const app = new PIXI.Application();
document.body.appendChild(app.view);
const sprite = PIXI.Sprite.from('image.png');
app.stage.addChild(sprite);
app.ticker.add(() => sprite.rotation += 0.01);

Monet.js (functional programming):

const maybeValue = Maybe.fromNull(someValue)
  .map(x => x * 2)
  .flatMap(x => Maybe.fromNull(anotherValue).map(y => x + y));

Summary

PixiJS is a powerful 2D rendering engine ideal for interactive graphics and game development, while Monet.js is a functional programming library focused on monads and algebraic structures. PixiJS offers high performance and extensive features for visual applications, but may be excessive for simpler projects. Monet.js provides tools for functional programming paradigms but lacks graphical capabilities. The choice between them depends on the specific requirements of your project.

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p5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web. It is based on the core principles of Processing. http://twitter.com/p5xjs —

Pros of p5.js

  • Larger community and more extensive documentation
  • Designed specifically for creative coding and visual arts
  • Easier to get started with for beginners in programming

Cons of p5.js

  • Heavier library with more overhead
  • May be overkill for simple functional programming tasks
  • Performance can be slower for complex computations

Code Comparison

p5.js (Drawing a circle):

function setup() {
  createCanvas(400, 400);
}

function draw() {
  ellipse(200, 200, 50, 50);
}

monet.js (Functional programming example):

const numbers = [1, 2, 3, 4, 5];
const doubledNumbers = List(numbers).map(x => x * 2).toArray();

p5.js is focused on creative coding and visual output, while monet.js is a functional programming library. p5.js provides a more intuitive API for creating visual elements, while monet.js offers powerful tools for functional programming paradigms. The choice between the two depends on the specific needs of your project: visual creativity or functional programming concepts.

28,665

Javascript Canvas Library, SVG-to-Canvas (& canvas-to-SVG) Parser

Pros of Fabric.js

  • Robust canvas manipulation library with extensive features for creating and editing graphics
  • Active development and large community support
  • Comprehensive documentation and examples

Cons of Fabric.js

  • Larger file size and potentially heavier performance impact
  • Steeper learning curve due to its extensive API

Code Comparison

Fabric.js:

var canvas = new fabric.Canvas('canvas');
var rect = new fabric.Rect({
  left: 100,
  top: 100,
  fill: 'red',
  width: 20,
  height: 20
});
canvas.add(rect);

Monet.js:

var maybe = Maybe.of(5)
  .map(function(val) { return val + 1; })
  .map(function(val) { return val * 2; });
console.log(maybe.get()); // 12

Key Differences

  • Fabric.js focuses on canvas manipulation and graphics, while Monet.js is a functional programming library
  • Fabric.js provides object-oriented abstractions for canvas elements, whereas Monet.js offers monadic data types
  • Fabric.js is more suitable for visual applications, while Monet.js is better for functional programming patterns

Use Cases

  • Fabric.js: Interactive graphics editors, image manipulation tools, and canvas-based applications
  • Monet.js: Functional programming in JavaScript, handling optional values, and composing complex operations
11,315

Konva.js is an HTML5 Canvas JavaScript framework that extends the 2d context by enabling canvas interactivity for desktop and mobile applications.

Pros of Konva

  • Focused on 2D graphics and interactive animations
  • Extensive documentation and examples
  • Large community and active development

Cons of Konva

  • Larger file size and potentially heavier performance impact
  • Steeper learning curve for complex applications

Code Comparison

Konva example:

var stage = new Konva.Stage({
  container: 'container',
  width: 500,
  height: 500
});

var layer = new Konva.Layer();
stage.add(layer);

var circle = new Konva.Circle({
  x: 100,
  y: 100,
  radius: 50,
  fill: 'red'
});

layer.add(circle);
layer.draw();

Monet.js example:

const maybe = Maybe.of(5)
  .map(x => x * 2)
  .flatMap(x => Maybe.of(x + 1));

console.log(maybe.getOrElse(0)); // Output: 11

Summary

Konva is a powerful library for creating interactive 2D graphics and animations, with extensive documentation and community support. It's well-suited for complex visual applications but may have a steeper learning curve and larger file size.

Monet.js, on the other hand, is a functional programming library focused on monads and algebraic data types. It's lightweight and useful for managing data flow and side effects in functional JavaScript applications.

The choice between these libraries depends on the specific needs of your project: Konva for graphics and interactivity, or Monet.js for functional programming patterns.

14,421

The Swiss Army Knife of Vector Graphics Scripting – Scriptographer ported to JavaScript and the browser, using HTML5 Canvas. Created by @lehni & @puckey

Pros of Paper.js

  • Comprehensive vector graphics library with extensive drawing capabilities
  • Robust documentation and active community support
  • Supports both canvas and SVG rendering

Cons of Paper.js

  • Larger file size and potentially heavier performance impact
  • Steeper learning curve due to its extensive feature set

Code Comparison

Paper.js:

paper.setup('myCanvas');
var path = new paper.Path();
path.strokeColor = 'black';
path.moveTo(new paper.Point(30, 75));
path.lineTo(new paper.Point(30, 25));

Monet.js:

const Maybe = require('monet').Maybe;
const just = Maybe.Just(5);
const nothing = Maybe.Nothing();
const result = just.map(x => x * 2);

Key Differences

Paper.js is focused on vector graphics and drawing, while Monet.js is a functional programming library for JavaScript. Paper.js provides tools for creating and manipulating visual elements, whereas Monet.js offers data structures and utilities for functional programming paradigms.

Paper.js is more suitable for projects involving visual design, interactive graphics, or data visualization. Monet.js, on the other hand, is better suited for applications that benefit from functional programming concepts like immutability and composability.

The choice between these libraries depends on the specific requirements of your project and the programming paradigm you prefer to work with.

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README

monet.js

For people who wish they didn't have to program in JavaScript. documentation

Introduction

Monet is a library designed to bring great power to your JavaScript programming. It is a tool bag that assists Functional Programming by providing a rich set of Monads and other useful functions.

This library is inspired by those that have come before, especially the FunctionalJava and Scalaz projects.

While functional programming may be alien to you, this library is a simple way to introduce monads and pure functional programming into your daily practices.

Documentation

Full detailed documentation can be found here

Installation

NPM

npm install monet --save

# or to install a specific version
npm install monet@0.9.3

Download

Download the zip or tar ball.

Browser

Simply download and add to your html pages. You can also include monet-pimp.js which contains extra functions on the Object.prototype for creating monads.

<script src="monet.js"></script>
<!-- Optionally -->
<script src="monet-pimp.js"></script>

Contents

Maybe

The Maybe type is the most common way of representing nothingness (or the null type) with making the possibilities of NullPointer issues disappear.

Maybe is effectively abstract and has two concrete subtypes: Some (also Just) and None (also Nothing).

Either

Either (or the disjunct union) is a type that can either hold a value of type A or a value of type B but never at the same time. Typically it is used to represent computations that can fail with an error. Think of it as a better way to handle exceptions. We think of an Either as having two sides, the success is held on the right and the failure on the left. This is a right biased either which means that map and flatMap (bind) will operate on the right side of the either.

Validation

Validation is not quite a monad as it doesn't quite follow the monad rules, even though it has the monad methods. It that can hold either a success value or a failure value (i.e. an error message or some other failure object) and has methods for accumulating errors. We will represent a Validation like this: Validation[E,A] where E represents the error type and A represents the success type.

Immutable lists

An immutable list is a list that has a head element and a tail. A tail is another list. The empty list is represented by the Nil constructor. An immutable list is also known as a "cons" list. Whenever an element is added to the list a new list is created which is essentially a new head with a pointer to the existing list.

Non Empty Lists

Much like the immutable list, a Non Empty List can never be empty. It implements the comonad pattern. It has a guaranteed head (total) and a guaranteed (total) tail.

IO

The IO monad is for isolating effects to maintain referential transparency in your software. Essentially you create a description of your effects of which is performed as the last action in your programme. The IO is lazy and will not be evaluated until the perform (alias run) method is called.

Reader

The Reader monad is a wonderful solution to inject dependencies into your functions. There are plenty of great resources to get your teeth into the Reader monad such as these great talks.

The Reader monad provides a way to "weave" your configuration throughout your programme.

Free

The Free monad is a monad that is able to separate instructions from their interpreter. There are many applications for this monad, and one of them is for implementing Trampolines, (which is a way to make recursion constant stack for languages that don't support tail call elimination, like JavaScript!).

Please see Ken Scambler's excellent talk and example project to get an in-depth understanding of this very useful monad.

Author

Written and maintained by Chris Myers @cwmyers and Jakub Strojewski @ulfryk. Follow Monet.js at @monetjs.

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