Benchmark: deep clone JSON - MeasureThat.net

HTML Preparation code:

<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>
<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>

Tests:

json stringify
var obj = {a: "hello", c: "test", po: 33, arr: [1, 2, 3, 4], anotherObj: {a: 33, str: "whazzup"}}; var obj2 = JSON.parse(JSON.stringify(obj));
lodash deep clone
var obj = {a: "hello", c: "test", po: 33, arr: [1, 2, 3, 4], anotherObj: {a: 33, str: "whazzup"}}; var obj2 = _.clone(obj, true);
Object.assign
var obj = {a: "hello", c: "test", po: 33, arr: [1, 2, 3, 4], anotherObj: {a: 33, str: "whazzup"}}; var obj2 = Object.assign({}, obj);
Ramda clone
var obj = {a: "hello", c: "test", po: 33, arr: [1, 2, 3, 4], anotherObj: {a: 33, str: "whazzup"}}; var obj2 = R.clone(obj, true);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
json stringify
lodash deep clone
Object.assign
Ramda clone

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.1:latest, generated 26 days ago):

LLMs can make mistakes. Check important info.

Let's dive into the benchmark definition and test cases.

**Benchmark Definition:**
The benchmark is called "deep clone JSON". This means we're testing different methods for creating a deep copy of a JavaScript object, which involves cloning all nested objects recursively.

**Test Cases:**

1. **JSON.stringify()**
	* This method is part of the JavaScript language itself.
	* It converts an object to a JSON string and then parses it back to create a new object.
	* Pros:
		+ No external dependencies required.
		+ Works on most browsers and environments.
	* Cons:
		- Can be slow for large or deeply nested objects due to the parsing overhead.
2. **Lodash _.clone()**
	* This method is part of the popular Lodash library (version 4.17.10).
	* It creates a deep copy of an object, including its nested structures.
	* Pros:
		+ Provides additional features like deep merging and cloning with options.
		+ Well-maintained and widely used library.
	* Cons:
		- Requires the Lodash library to be loaded.
3. **Object.assign()**
	* This method is part of the JavaScript language itself (since ES6).
	* It creates a new object by assigning properties from an existing object or multiple objects.
	* Pros:
		+ No external dependencies required.
		- Can be used for shallow copying, but not recommended for deep cloning due to its limitations.
4. **Ramda R.clone()**
	* This method is part of the popular Ramda library (version 0.25.0).
	* It creates a deep copy of an object, including its nested structures.
	* Pros:
		+ Provides additional features like deep merging and cloning with options.
		- Well-maintained and widely used library.

**Other Alternatives:**

While not tested in this specific benchmark, other alternatives for deep copying objects include:

* **lodash.deepClone()**: A more modern method in Lodash (version 4.17.10) specifically designed for deep cloning.
* **jsondeepcopy()**: A separate library that provides a deep clone function.
* **structuredClone()**: A newer JavaScript feature (since ES2022) that allows deep copying of objects, but might not be widely supported yet.

Keep in mind that each method has its trade-offs, and the best choice depends on your specific use case and requirements.

Latest run results:

Run details: (Test run date: 6 years ago)

User agent: Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.167 Safari/537.36

Browser/OS: Chrome 64 on Windows 7

View result in a separate tab

Test name	Executions per second
json stringify	286890.1 Ops/sec
lodash deep clone	910621.8 Ops/sec
Object.assign	825806.9 Ops/sec
Ramda clone	352255.1 Ops/sec

Related benchmarks:

deep clone JSON (version: 0)

Comparing performance of: json stringify vs lodash deep clone vs Object.assign vs Ramda clone

Created: 6 years ago by: Guest

Jump to the latest result

json stringify

lodash deep clone

Object.assign

Ramda clone

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.1:latest, generated 26 days ago):