Benchmark: Lodash.isEqual vs JSON.stringify Equality Comparison for Deep Array Comparison

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

window.foo = [
  {
      title: 'title1',
      description: 'description1',
      attribute: 'attribute1'
  },
  {
      title: 'title2',
      description: 'description2',
      attribute: 'attribute2'
  }
];
window.bar = [
  {
      title: 'title3',
      description: 'description3',
      attribute: 'attribute3'
  },
  {
      title: 'title4',
      description: 'description4',
      attribute: 'attribute4'
  }
];

Tests:

_.isEqual
_.isEqual(window.foo, window.bar)
JSON.stringify
JSON.stringify(window.foo) === JSON.stringify(window.bar);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.isEqual
JSON.stringify

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the provided JSON data and explain what's being tested.

**Benchmark Definition**

The benchmark is comparing the performance of two equality comparison methods:

1. `_.isEqual(window.foo, window.bar)` using the Lodash library
2. `JSON.stringify(window.foo) === JSON.stringify(window.bar)` (without a library)

These tests are designed to measure how quickly each method can compare the deep array objects `window.foo` and `window.bar`.

**Options Compared**

There are two options being compared:

* **Lodash isEqual**: This is a utility function from the Lodash library that performs a deep object comparison. It's used to test the performance of this particular equality check.
* **JSON.stringify Equality Comparison**: This is a built-in JavaScript method that converts an object (in this case, an array) into a JSON string and then compares it with another JSON string to determine if they are equal. The `===` operator is used for comparison.

**Pros and Cons of Each Approach**

1. **Lodash isEqual**:
	* Pros: Highly optimized for performance, takes care of edge cases (e.g., arrays with nested objects).
	* Cons: Requires the Lodash library to be included in the test environment.
2. **JSON.stringify Equality Comparison**:
	* Pros: Simple and straightforward implementation, doesn't require any additional libraries.
	* Cons: Not optimized for performance, may produce false negatives or positives due to string comparison limitations (e.g., NaN values).

**Library and Purpose**

The Lodash library is a popular JavaScript utility library that provides a wide range of functions for tasks like array manipulation, object transformation, and more. The `_.isEqual` function is specifically designed to perform deep equality comparisons between objects.

**Special JS Feature or Syntax**

There are no special features or syntaxes being tested in this benchmark, but it's worth noting that the use of `window.foo` and `window.bar` variables is a common pattern in JavaScript benchmarks for creating test data.

**Other Alternatives**

If you were to reimplement this benchmark using a different approach, some alternatives could include:

* Using a custom implementation of equality comparison, such as a recursive function or a library like `fast-deep-equal`.
* Comparing arrays using a different method, such as `every()` or `some()`, instead of the built-in `===` operator.
* Using a benchmarking framework that provides more features and customization options, such as WebPageTest or BenchmarkJS.

Overall, this benchmark provides a good starting point for comparing the performance of two equality comparison methods in JavaScript.

Related benchmarks:

Lodash.isEqual vs JSON.stringify Equality Comparison for Deep Array Comparison (version: 0)

Test on isEqual performance

Comparing performance of: _.isEqual vs JSON.stringify

Created: 4 years ago by: Guest

Jump to the latest result

_.isEqual

JSON.stringify

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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