Benchmark: asdasdasdsadasdsadsadsadergfergqerqwgr

Tests:

_.isEqual
_.isEqual(window.foo, window.bar)
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
stringify

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.192 Safari/537.36

Browser/OS: Chrome 88 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
_.isEqual	844290.7 Ops/sec
stringify	681772.2 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 MeasureThat.net and explore what's being tested in this benchmark.

**Benchmark Definition Json**

The provided JSON represents a benchmark with two test cases:

1. `_.isEqual(window.foo, window.bar)`
2. `JSON.stringify(window.foo) === JSON.stringify(window.bar)`

These test cases aim to measure the performance of JavaScript equality checks and stringification operations.

**Options Compared**

In these test cases, we're comparing different approaches to equality checks and stringification:

* **_.isEqual**: This is a function from the Lodash library that performs a deep equality check between two objects. It returns `true` if both objects are equal, and `false` otherwise.
* **JSON.stringify**: This is a built-in JavaScript method that converts an object into a JSON string. The test case compares the result of calling `JSON.stringify` on two different objects (`window.foo` and `window.bar`) to determine if they're equal.

**Pros and Cons**

Here are some pros and cons for each approach:

* **_.isEqual**:
	+ Pros: Deep equality check, handles nested objects and arrays.
	+ Cons: May be slower due to the overhead of a custom equality function.
* **JSON.stringify**:
	+ Pros: Fast and lightweight, can be useful for comparing object structures without requiring deep equality checks.
	+ Cons: Ignores some object properties (e.g., functions, undefined values), may not work as expected with circular references.

**Library**

The Lodash library is being used in the first test case (`_.isEqual(window.foo, window.bar)`). Lodash provides a variety of useful functions for working with JavaScript data structures, including equality checks. The `isEqual` function is a popular choice for deep equality checks.

**Special JS Feature/Syntax**

There are no special JS features or syntax mentioned in this benchmark that require additional explanation.

**Other Alternatives**

If you're looking for alternative approaches to equality checks and stringification, here are a few options:

* For deep equality checks:
	+ `===` operator (using the `===` operator with `Object.prototype.toString.call()` can help ensure equal objects)
	+ `JSON.parse(JSON.stringify(obj)) === obj` (this method is similar to `JSON.stringify`, but uses `parse` and `stringify` instead of just `stringify`)
* For stringification:
	+ Built-in `String()` function (which converts an object to a string using the `toString` method)
	+ A custom implementation of stringification, such as using a recursive function to traverse the object's properties.

Keep in mind that these alternatives may have different performance characteristics and handling of edge cases compared to the Lodash `isEqual` function and built-in `JSON.stringify` method.

Related benchmarks:

asdasdasdsadasdsadsadsadergfergqerqwgr (version: 0)

window.foo = {'animals': {'cat': 'cat', 'dog': 'dog', 'bird': 'bird'}, 'alphabet': { 'a': 'a', 'b': 'b' }}; window.foo = {'animals': {'cat': 'cat', 'dog': 'dog', 'bird': 'bird'}, 'alphabet': { 'a': 'a', 'b': 'b' }};

Comparing performance of: _.isEqual vs stringify

Created: 3 years ago by: Guest

Jump to the latest result

_.isEqual

stringify

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):