Benchmark: Lodash clone vs JSON parse 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,
  jayson: {
    stringify: 'JSON.stringify() method converts a JavaScript value to a JSON string....',
    parse: 'JSON.parse() method parses a JSON string...'
  }
};

Tests:

lodash clone
const clone = _.clone(MyObject)
JSON PARSE
const clone = JSON.parse(JSON.stringify(MyObject))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash clone
JSON PARSE

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's dive into the world of MeasureThat.net and analyze the provided benchmark.

**Benchmark Overview**

The benchmark compares two approaches to create a deep copy of an object: using Lodash's `clone` function and parsing a JSON string created from the original object. The goal is to determine which approach is faster.

**Options Compared**

Two options are being compared:

1. **Lodash Clone**: Using the `_.clone()` function from the Lodash library to create a deep copy of the `MyObject`.
2. **JSON Parse Stringify**: Parsing a JSON string created from the original object using `JSON.parse(JSON.stringify(MyObject))`.

**Pros and Cons**

* **Lodash Clone**:
	+ Pros: Provides a robust and reliable way to create deep copies, as it handles complex data structures like arrays and objects.
	+ Cons: Requires an external library (Lodash), which may introduce additional dependencies.
* **JSON Parse Stringify**:
	+ Pros: Lightweight and doesn't require any external libraries.
	+ Cons: Can be slower than Lodash's `clone` function, as it involves parsing a JSON string and then re-creating the object.

**Other Considerations**

* The benchmark assumes that the input data is an object with nested structures, such as arrays and other objects. If the input data is simpler, one of the approaches might be faster.
* The use of `JSON.stringify()` and `JSON.parse()` methods can lead to additional overhead due to the string conversion and parsing.

**Library and Purpose**

The Lodash library is a popular utility belt for JavaScript developers, providing a wide range of functions for tasks like array manipulation, object transformation, and more. In this benchmark, `_.clone()` is used to create a deep copy of the input object.

**Special JS Feature or Syntax**

None are mentioned in this specific benchmark, but it's worth noting that other benchmarks might utilize features like async/await, Promises, or modern JavaScript syntax (e.g., ES6 classes, destructuring).

**Alternatives**

If you're interested in exploring alternative approaches, here are a few options:

* Using the built-in `Object.assign()` method to create a shallow copy of an object.
* Implementing a custom deep copy function using recursion or iterative techniques.
* Utilizing libraries like Immutable.js for immutable data structures.
* Leveraging modern JavaScript features like JSONAtomics (for more efficient JSON operations).

Keep in mind that these alternatives might not be as optimized or performant as the Lodash `clone` function or the JSON parse/ stringify approach.

I hope this explanation helps you understand the benchmark and its results!

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36 Edg/108.0.1462.76

Browser/OS: Chrome 108 on Windows

View result in a separate tab

Test name	Executions per second
lodash clone	1228671.8 Ops/sec
JSON PARSE	377988.5 Ops/sec

Related benchmarks:

Lodash clone vs JSON parse stringify (version: 0)

Comparing performance of: lodash clone vs JSON PARSE

Created: 4 years ago by: Guest

Jump to the latest result

lodash clone

JSON PARSE

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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