Benchmark: Lodash cloneDeep vs JSON Clone vs Ramda Clone

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.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...'
  }
};

var myCopy = null;

Tests:

Lodash cloneDeep
myCopy = _.cloneDeep(MyObject);
Json clone
myCopy = JSON.parse(JSON.stringify(MyObject));
Ramda clone
myCopy = R.clone(MyObject);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash cloneDeep
Json clone
Ramda clone

Fastest: N/A

Slowest: N/A

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/130.0.0.0 Safari/537.36

Browser/OS: Chrome 130 on Windows

View result in a separate tab

Test name	Executions per second
Lodash cloneDeep	1240042.9 Ops/sec
Json clone	976928.9 Ops/sec
Ramda clone	2030436.5 Ops/sec

Autogenerated LLM Summary (model gemma2:9b, generated one year ago):

LLMs can make mistakes. Check important info.

This benchmark tests the performance of three different ways to create a deep copy of an object in JavaScript:

* **Lodash `cloneDeep`:**  Lodash is a popular library that provides utility functions for working with JavaScript objects and arrays. Its `cloneDeep` function creates a completely independent copy of an object, including nested objects and arrays.
* **JSON Clone:** This approach uses the built-in `JSON.stringify()` and `JSON.parse()` methods to convert the object into a JSON string and then back into an object. While simple, it might not be the most efficient method for large or complex objects.
* **Ramda `clone`:** Ramda is another functional programming library that offers various functions for working with data. Its `clone` function creates a deep copy of an object in a similar way to Lodash's `cloneDeep`.

**Pros and Cons:**

* **Lodash `cloneDeep`:** 
    * **Pros:** Well-established, reliable, efficient for most use cases. 
    * **Cons:** Adds a dependency on the Lodash library.
* **JSON Clone:**
    * **Pros:**  No external dependencies, readily available in standard JavaScript.
    * **Cons:** Can be slower than dedicated deep copying libraries, especially for large objects.
* **Ramda `clone`:** 
    * **Pros:** Functional programming paradigm, potentially more concise code, efficient.
    * **Cons:** Adds a dependency on the Ramda library. Requires familiarity with functional programming concepts.

**Other Considerations:**

The choice of method depends on your specific needs:

* **Object Size and Complexity:** For very large or complex objects, dedicated libraries like Lodash or Ramda are likely to perform better than JSON cloning.
* **Performance Requirements:** If performance is critical, benchmark different approaches with your specific data to determine the most efficient option.
* **Code Maintainability:** Consider the readability and maintainability of your code when choosing a method.

**Alternatives:**

There are other JavaScript libraries that provide deep copying functionality, such as:

* **Underscore.js:** Similar to Lodash but might offer different performance characteristics. 
* **Immer:**  Offers an "immersive" approach to object manipulation, potentially improving performance for frequent updates.

Let me know if you have any more questions!

Related benchmarks:

Lodash cloneDeep vs JSON Clone vs Ramda Clone (version: 0)

Comparing performance of: Lodash cloneDeep vs Json clone vs Ramda clone

Created: 7 years ago by: Guest

Jump to the latest result

Lodash cloneDeep

Json clone

Ramda clone

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gemma2:9b, generated one year ago):