Benchmark: Lodash cloneDeep vs deepFreeze vs deepClone vs JSON.parse(JSON.stringify())

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var MyObject = {
  description: 'Creates a deep copy of source, which should be an object or an array.',
  myNumber: 123456789,
  myBoolean: true,
  array: [1,2,3,4,5,6,7,8,9,0],
  nestedObject: {
  	a: [{x: 1}, {x: 1}, {x: 1}],
    b: [{x: 1}, {x: 1}, {x: 1}],
    c: [{x: 1}, {x: 1}, {x: 1}]
  },
  jayson: {
    stringify: 'JSON.stringify() method converts a JavaScript value to a JSON string....',
    parse: 'JSON.parse() method parses a JSON string...'
  }
};

var myCopy = null;

function deepFreeze(x) {

  if (!x || typeof x !== 'object') {
  	return x;
  }
  
  if (Array.isArray(x)) {
  	const y = [];
    for (let i = 0; i < x.length; i++) {
      y.push(deepFreeze(x[i]));
    }
    return Object.freeze(y);
  }
  
  const y = {};
  
  for (const key in x) {
  	if (x.hasOwnProperty(key)) {
      y[key] = deepFreeze(x[key]);
    }
  }
  
  return Object.freeze(y);
  
}

function deepClone(x) {

  if (!x || typeof x !== 'object') {
    return x;
  }

  if (Array.isArray(x)) {
    const y = [];
    for (let i = 0; i < x.length; i++) {
      y.push(deepClone(x[i]));
    }
    return y;
  }

  const y = {};
  for (const key in x) {
  	if (x.hasOwnProperty(key)) {
      y[key] = deepClone(x[key]);   
    }
  }

  return y;

}

Tests:

Lodash cloneDeep
myCopy = _.cloneDeep(MyObject);
custom deepFreeze()
myCopy = deepFreeze(MyObject)
custom deepClone()
myCopy = deepClone(MyObject);
JSON
myCopy = JSON.parse(JSON.stringify(MyObject));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash cloneDeep
custom deepFreeze()
custom deepClone()
JSON

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one month ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36

Browser/OS: Chrome 131 on Windows

View result in a separate tab

Test name	Executions per second
Lodash cloneDeep	140063.4 Ops/sec
custom deepFreeze()	558445.0 Ops/sec
custom deepClone()	962461.5 Ops/sec
JSON	322015.1 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks.

**Benchmark Overview**

The provided JSON represents a benchmark test for comparing different approaches to create a deep copy of an object in JavaScript: `Lodash cloneDeep`, `custom deepFreeze()`, `custom deepClone()`, and `JSON.parse(JSON.stringify())`. The test measures the execution speed (in executions per second) of each approach on various browsers and devices.

**Options Compared**

The benchmark compares four options:

1. **Lodash cloneDeep**: A popular JavaScript library that provides a function for creating a deep copy of an object.
2. **custom deepFreeze()**: A custom implementation of the `deepFreeze()` function, which is similar to `Object.freeze()`.
3. **custom deepClone()**: A custom implementation of the `deepClone()` function, which is similar to `JSON.parse(JSON.stringify())`.
4. **JSON.parse(JSON.stringify())**: A built-in JavaScript method for creating a deep copy of an object.

**Pros and Cons**

Here's a brief overview of each approach:

1. **Lodash cloneDeep**:
	* Pros: Fast and efficient, widely used and well-tested.
	* Cons: Requires including the Lodash library in your project.
2. **custom deepFreeze()**:
	* Pros: Custom implementation, can be optimized for specific use cases.
	* Cons: Requires manual implementation and may have performance overhead due to its custom nature.
3. **custom deepClone()**:
	* Pros: Similar to `JSON.parse(JSON.stringify())`, easy to implement.
	* Cons: May not work correctly with all data types or nested structures, and can be slow for large objects.
4. **JSON.parse(JSON.stringify())**:
	* Pros: Built-in JavaScript method, works correctly with most data types.
	* Cons: Can be slower than custom implementations due to the overhead of parsing JSON.

**Library and Purpose**

* `lodash.js`: A popular JavaScript utility library that provides various functions for tasks like string manipulation, array manipulation, and more. In this case, it's used for creating a deep copy of an object using `cloneDeep()`.
* `JSON.parse(JSON.stringify())`: A built-in JavaScript method that creates a deep copy of an object by parsing the object as JSON and then parsing the resulting JSON back into an object.

**Special JS Features or Syntax**

There are no specific JavaScript features or syntax mentioned in this benchmark. However, it's worth noting that some browsers may have different implementations of `Object.freeze()` or other related methods that could affect the performance of custom deepFreeze().

**Alternatives**

If you're interested in exploring alternative approaches to creating a deep copy of an object, here are some options:

* **immer.js**: A library that provides a more functional approach to mutating objects, which can be useful for creating a deep copy.
* **fast-json-stable-stringify**: A lightweight library that provides a fast and efficient way to serialize and deserialize JSON objects.
* **custom implementation using `Map` or `WeakMap`**: You can create a deep copy of an object by recursively iterating over its properties and creating new instances of the same data type (e.g., `Map` for objects) or mapping the original values to new ones.

Related benchmarks:

Lodash cloneDeep vs deepFreeze vs deepClone vs JSON.parse(JSON.stringify()) (version: 0)

Comparing performance of: Lodash cloneDeep vs custom deepFreeze() vs custom deepClone() vs JSON

Created: 2 years ago by: Guest

Jump to the latest result

Lodash cloneDeep

custom deepFreeze()

custom deepClone()

JSON

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):