Benchmark: _.isEqual vs JSON.stringify

HTML Preparation code:

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

Script Preparation code:

window.foo = ["Cat", "Dog", "Squirrel", "Cat", "Dog", "Squirrel", "Cat", "Dog", "Squirrel", "Cat", "Dog", "Squirrel", "Cat", "Dog", "Squirrel"];
window.bar = ["Cat", "Dog", "Squirrel", "Cat", "Dog", "Squirrel", "Cat", "Dog", "Squirrel", "Cat", "Dog", "Squirrel", "Cat", "Dog", "Squirrel"];

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:

No previous run results

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

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I'll break down the provided benchmark definition and test cases, explaining what is tested, compared, and their pros/cons.

**Benchmark Definition and Script Preparation Code**

The script preparation code defines two variables: `window.foo` and `window.bar`, which are arrays of strings with some duplicates. The purpose of these arrays is to serve as the input for the benchmarked functions.

```javascript
window.foo = [...]; // [...]
window.bar = [...];
```

**Html Preparation Code**

The HTML preparation code includes a script tag that loads the Lodash library (specifically, the `lodash.min.js` file). This library provides the `_isEqual` function used in one of the benchmarked test cases.

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

**Individual Test Cases**

There are two test cases:

1. `_.isEqual(window.foo, window.bar)`
This test case compares the equality of the `window.foo` and `window.bar` arrays using the `_isEqual` function from Lodash.
2. `JSON.stringify(window.foo) === JSON.stringify(window.bar);`
This test case compares the stringified representations of the `window.foo` and `window.bar` arrays.

**Comparison**

The two test cases are designed to compare the performance of two different approaches:

* `_isEqual` (Lodash): This function recursively checks if two arrays have the same structure, order, and values.
* Stringification using `JSON.stringify`: This method converts an object or array to a string representation.

**Pros/Cons**

Here's a brief analysis of each approach:

### _.isEqual

Pros:

* More accurate comparison, as it takes into account the internal structure of the arrays
* Can handle arrays with duplicates and other complex data types

Cons:

* May be slower due to its recursive nature and complexity
* Requires an external library (Lodash)

### Stringification using JSON.stringify

Pros:

* Fast and lightweight
* Native implementation, so no external dependency

Cons:

* Less accurate comparison, as it only checks for deep equality of object references
* Fails if the arrays have different types or structures

**Device-Specific Considerations**

In this benchmark, both test cases are executed on a Chrome 76 browser running on Windows. There's no information about device-specific factors like screen resolution, CPU architecture, or GPU capabilities.

**Alternative Approaches**

If you want to compare these two approaches without using Lodash, you could use other equality checking methods:

* Manual array comparison: Iterate through the arrays and check each element by element.
* Using a different library (e.g., `Array.prototype.every()`, `JSON.parse()` with `JSON.stringify()`): These alternatives might be faster or more accurate than Lodash's `_isEqual` function, but may also have their own trade-offs.

Keep in mind that optimizing performance for equality checking is generally not as important as correctness and maintainability.

Related benchmarks:

_.isEqual vs JSON.stringify (version: 0)

Comparing performance of: _.isEqual vs JSON.stringify

Created: 6 years ago by: Registered User

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):