Benchmark: Lodash.js vs Nativejdjdjdjd

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

var max1 = 100000; // 100,000 (100 Thousand)
var max2 = 10000000; // 10,000,000 (10 Million)
var max3 = 100000000; // 100,000,000 (100 Million)

var arr1 = [];
//for (var i = 0; i <= max1; i++) { arr1.push(i); }

var arr2 = [];
for (var i = 0; i <= max2; i++) { arr2.push(i); }

var arr3 = [];
//for (var i = 0; i <= max3; i++) { arr3.push(i); }

Tests:

Native
arr2.forEach(function (element, index) { element = element*2; });
Lodash.js filter
_.forEach(arr2, function (element, index) { element = element*2; });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native
Lodash.js filter

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

**Overview of the Benchmark**

The provided JSON represents a JavaScript benchmark test that compares two approaches: using Lodash.js and native JavaScript to multiply each element in an array by 2.

**Test Cases**

There are two test cases:

1. **Native**: This test case uses only native JavaScript to iterate over the `arr2` array and multiply each element by 2. The code is:
```javascript
arr2.forEach(function (element, index) {
    element = element * 2;
});
```
This approach uses a built-in JavaScript method (`forEach`) that iterates over an array and executes a provided function for each element.

2. **Lodash.js filter**: This test case uses the `lodash` library to iterate over the `arr2` array and multiply each element by 2. The code is:
```javascript
_.forEach(arr2, function (element, index) {
    element = element * 2;
});
```
This approach uses a third-party library (`lodash`) that provides additional utility functions for JavaScript.

**Library: Lodash.js**

Lodash.js is a popular JavaScript library that provides a wide range of utility functions for tasks such as:

* Array manipulation (e.g., `forEach`, `map`, `filter`)
* Object manipulation (e.g., `clone`, `assign`, `merge`)
* String manipulation (e.g., `trim`, `repeat`, `escape`)
* Math and number utilities (e.g., `round`, `ceil`, `floor`)

Lodash.js is widely used in JavaScript applications for its convenience, flexibility, and performance.

**Pros and Cons**

**Native Approach:**

Pros:

* Lightweight and compact
* No external dependencies required
* Native performance

Cons:

* May be slower than library-based approaches due to overhead of built-in methods
* Limited functionality compared to Lodash.js

**Lodash.js Approach:**

Pros:

* Provides a wide range of utility functions for array manipulation and other tasks
* Often faster than native approach due to optimized implementation
* Easy to use and convenient

Cons:

* Adds an external dependency (the `lodash` library)
* May introduce additional overhead due to the library's size and complexity

**Other Considerations**

When choosing between these approaches, consider the specific requirements of your project. If you need a lightweight and compact solution with native performance, the **Native Approach** may be suitable. However, if you require a more comprehensive set of utility functions or prioritize convenience and ease of use, the **Lodash.js Approach** may be a better fit.

If you decide to use Lodash.js, make sure to include it in your project's dependencies and ensure that it is up-to-date to take advantage of any performance improvements or new features.

The provided benchmark result shows that the `Lodash.js filter` approach outperforms the **Native Approach** on this specific test case.

Related benchmarks:

Lodash.js vs Nativejdjdjdjd (version: 0)

Comparing performance of: Native vs Lodash.js filter

Created: 5 years ago by: Guest

Jump to the latest result

Native

Lodash.js filter

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):