Fast-Cleaner

Fast cleaner is an npm module designed to clean javascript objects from unwanted values like undefined, NaN, {}(empty objects) .. etc.

(now supports typescript)

What makes this module different. Check out our comparison

Update with version 1.3+

Version 1.3+ now supports cleaning objects in place. This means that the library can avoid creating new objects while cleaning. Instead it can mutate the object passed to it & clean it in place.

This will make the module not only efficient in speed, but in memory consumption as well.

While object mutation might not be a best practice in a lot of cases, in some it will be a better one if you are cleaning large objects & want to avoid huge memory consumption.

This is an OPTIONAL feature. You can simply use it by passing cleanInPlace = true in the options.

The feature is turned off by default for backwards compatibility.

All other options are supported whether you are cleaning in place or not.

Content

• Installation

• Usage

• Example

• Options

• Additional Examples

• Values cleaned by default are

• What makes this module unique

Installation

npm i --save @hutechwebsite/labore-deserunt-doloremque-voluptatum

Usage

const cleanedObj = cleaner.clean(objectToClean, options);

Example

const obj = {
  a: 'value',
  emptyString: '',
  emptyArray: [],
  emptyObject: {},
  isNull: null,
  falseValue: false,
  zero: 0,
  isUndefined: undefined,
  b: {
    a: 'another value',
    anotherEmptyString: '',
    arr: [
      { c: null },
      { d: 'value' },
      { a: [
        {
          x: true,
          y: NaN
        },
        {
          y: NaN
        },
        {
          z: [null, true],
          subChild: [
            {
              a: true
            },
            {
              
            }
          ]
        }
      ]}
    ],

    secondArr: [{
      a: {
        b: undefined
      }
    }],

    nestedArr1: [[null, true, false], [undefined, undefined]],
    nestedArr2: [[null], [undefined, undefined]],
  }
}

const cleanedObj = cleaner.clean(obj);

Output is

{
  a: 'value',
  falseValue: false,
  zero: 0,
  b: {
    a: 'another value',
    arr: [
      { d: 'value' },
      { a: [
        {
          x: true,
        },
        {
          z: [true],
          subChild: [
            {
              a: true
            }
          ]
        }
      ]}
    ],

    nestedArr1: [[true, false]],
  }
}

Options

Options is an object that allows you to choose what filters you want to add to the module.

• nullCleaner : remove null values (defaults to false)
• emptyArraysCleaner : removes empty arrays (defaults to true)
• emptyObjectsCleaner : removes empty objects (defaults to true)
• emptyStringsCleaner : removes empty strings (defaults to true)
• nanCleaner : removes NaN (defaults to true)
• cleanInPlace : whether the library should create a new object that is cleaned or mutate the object passed to it & clean in place. (defaults to false)

Additional Examples

Based on the mentioned sample object above, here's the output with different options

With nullCleaner = true

{
  a: 'value',
  isNull: null,
  falseValue: false,
  zero: 0,
  b: {
    a: 'another value',
    arr: [
      { c: null },
      { d: 'value' },
      { a: [
        {
          x: true,
        },
        {
          z: [null, true],
          subChild: [
            {
              a: true
            }
          ]
        }
      ]}
    ],

    nestedArr1: [[null, true, false]],
    nestedArr2: [[null]],
  }
}

With nullCleaner = true & emptyArrayCleaner = false

{
  a: 'value',
  emptyArray: [],
  falseValue: false,
  zero: 0,
  b: {
    a: 'another value',
    arr: [
      { d: 'value' },
      {
        a: [
          {
            x: true
          },
          {
            z: [true],
            subChild: [
              {
                a: true
              }
            ]
          }
        ]
      }
    ],

    secondArr: [],
    nestedArr1: [[true, false], []],
    nestedArr2: [[], []]
  }
}

With nullCleaner = true & emptyObjectsCleaner = false

{
  a: 'value',
  emptyObject: {},
  falseValue: false,
  zero: 0,
  b: {
    a: 'another value',
    arr: [
      {},
      { d: 'value' },
      {
        a: [
          {
            x: true,
          },
          {
          },
          {
            z: [true],
            subChild: [
              {
                a: true
              },
              {
              }
            ]
          }
        ]
      }
    ],

    secondArr: [{
      a: {
      }
    }],

    nestedArr1: [[true, false]]
  }
}

With nullCleaner = true & nanCleaner = false

{
  a: 'value',
  falseValue: false,
  zero: 0,
  b: {
    a: 'another value',
    arr: [
      { d: 'value' },
      { a: [
        {
          x: true,
          y: NaN
        },
        {
          y: NaN
        },
        {
          z: [true],
          subChild: [
            {
              a: true
            }
          ]
        }
      ]}
    ],

    nestedArr1: [[true, false]]
  }
}

With nullCleaner, emptyObjectsCleaner, emptyArrayCleaner & emptyStringsCleaner all equal false

{
  a: 'value',
  emptyString: '',
  emptyArray: [],
  emptyObject: {},
  isNull: null,
  falseValue: false,
  zero: 0,
  b: {
    a: 'another value',
    anotherEmptyString: '',
    arr: [
      { c: null },
      { d: 'value' },
      {
        a: [
          {
            x: true
          },
          {
          },
          {
            z: [null, true],
            subChild: [
              {
                a: true
              },
              {

              }
            ]
          }
        ]
      }
    ],

    secondArr: [{
      a: {
      }
    }],

    nestedArr1: [[null, true, false], []],
    nestedArr2: [[null], []],
  }
}

Values cleaned by default are

• undefined

• '' (empty strings)

• NaN

• {} (empty objects)

• [] (empty arrays)

What makes this module unique

• It's an extremely lightweight library.

• Absolutely no dependencies.

• Extremely fast compared to other modules with the same functionalities.

• The ability to clean objects in place without creating new objects in memory.

You can check how the comparison was made here