Benchmark: Test immer profuce vs freep clone lodash

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/immer@3.1.3/dist/immer.umd.min.js"></script>
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

nestedState = {
    key1: {
        key11: {
            key111: 'test'
        }
    },
    arr: [{
        key11: 'value',
        a: 'sueprp',
        id: 1225,
    }, {
        key11: 'value',
        a: 'sueprp',
        id: 1225,
    }, {
        key11: 'value',
        a: 'sueprp',
        id: 1225,
    }, {
        key11: 'value',
        a: 'sueprp',
        id: 1225,
    }, {
        key11: 'value',
        a: 'sueprp',
        id: 1225,
    }, {
        key11: 'value',
        a: 'sueprp',
        id: 1225,
    }, {
        key11: 'value',
        a: 'sueprp',
        id: 1225,
    }, {
        key11: 'value',
        a: 'sueprp',
        id: 1225,
    }, {
        key11: 'value',
        a: 'sueprp',
        id: 1225,
    }, {
        key11: 'value',
        a: 'sueprp',
        id: 1225,
    }, ]
};

Tests:

produce
const result = immer.produce((nestedState, draft) => { draft.key1.key11.key111 = 'updated'; draft.arr[0].a ='a'; })
deep
const result = _.cloneDeep(nestedState); result.key1.key11.key111 = 'updated';

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
produce
deep

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Let's dive into the explanation.

**Benchmark Overview**

MeasureThat.net is a website where users can create and run JavaScript microbenchmarks. The provided benchmark tests two approaches to creating a deep clone of an object using two popular libraries: Immer and Lodash.

**Test Case 1: `produce` (Immer)**

The first test case uses the `immer.produce()` function, which is part of the Immer library. Immer provides a more efficient way to create immutable data structures by creating a draft copy of the original object and then modifying the draft instead of the original.

**Pros of using `immer.produce()`:**

1. **Efficient updates**: Immer allows for efficient updates to objects without creating unnecessary copies, which can lead to significant performance improvements.
2. **Immutable data structure**: Immer ensures that the original object remains unchanged, making it easier to reason about code and avoid side effects.

**Cons of using `immer.produce()`:**

1. **Steeper learning curve**: Immer requires a basic understanding of immutable programming principles and its syntax can be unfamiliar to developers without prior experience.
2. **Additional dependencies**: Immer is an external library that needs to be included in the project, which may add extra complexity to the build process.

**Test Case 2: `deep` (Lodash)**

The second test case uses the `_.cloneDeep()` function from Lodash, a popular utility library for JavaScript. Lodash provides a simple way to create deep copies of objects without modifying the original.

**Pros of using `_._cloneDeep()`:**

1. **Easy to use**: Lodash's API is straightforward and easy to understand, making it accessible to developers with varying levels of experience.
2. **Familiar library**: Lodash is widely used in the industry, so many developers are already familiar with its functions.

**Cons of using `_._cloneDeep()`:**

1. **Performance overhead**: Creating a deep copy of an object using Lodash can lead to performance overhead due to the creation of multiple copies.
2. **Memory usage**: Deep cloning objects can result in increased memory usage, especially for large datasets.

**Library and Syntax Explanation**

* Immer (produces): The `immer.produce()` function takes two arguments: a callback function that modifies the draft copy, and the original object. The callback function is used to update the draft copy, which is then returned as the result.
* Lodash (deep clone): The `_._cloneDeep()` function takes one argument: the object to be cloned. It creates a deep copy of the object by recursively creating new objects for each property.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntax used in this benchmark, apart from using external libraries (Immer and Lodash) which is quite common in modern JavaScript development.

**Alternative Approaches**

Other approaches to create a deep clone of an object without using Immer or Lodash include:

1. **Manual recursion**: Writing a recursive function that creates new objects for each property.
2. **Object.assign()**: Using the spread operator (`{...object}`) to create a shallow copy, and then manually creating new objects for each nested property.
3. **JSON.parse(JSON.stringify())**: Using JSON parsing and stringification to create a deep clone.

Each approach has its own trade-offs in terms of performance, memory usage, and readability.

Related benchmarks:

Test immer profuce vs freep clone lodash (version: 0)

Comparing performance of: produce vs deep

Created: 5 years ago by: Guest

Jump to the latest result

produce

deep

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):