Benchmark: Lodash.js vs Native 112

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.15/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
const doubleNative = arr2.map(element => element * 2);
Lodash.js filter
const doubleLowdash = _.map(arr2, 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):

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Let's dive into the world of JavaScript benchmarks!

The provided JSON represents two benchmark cases: one for Lodash.js and another for native JavaScript.

**Benchmark Test Case 1: Lodash.js vs Native 112**

This test case measures the performance difference between using Lodash.js library and native JavaScript to double a large array. The script preparation code creates three arrays (`arr1`, `arr2`, and `arr3`) with different sizes (100,000, 10,000,000, and 100,000,000 elements). Then, it uses a for loop to populate each array.

The HTML preparation code includes the Lodash.js library from a CDN.

**Benchmark Test Case 2: Lodash.js filter**

This test case measures the performance of using Lodash.js library's `_.map()` function to double an array compared to native JavaScript. The script preparation code creates an array (`arr2`) and uses a for loop to populate it with elements.

The HTML preparation code includes the Lodash.js library from a CDN.

**Options Compared**

In both test cases, two options are being compared:

1. **Lodash.js**: using the Lodash.js library's functions to perform operations on arrays.
2. **Native JavaScript**: using native JavaScript functions to perform operations on arrays.

**Pros and Cons of Each Approach**

Here are some pros and cons of each approach:

**Lodash.js**

Pros:

* Easier to write code, especially for complex operations
* Provides a standardized API for common tasks
* Can be more efficient than writing custom native code

Cons:

* Adds overhead due to the library's existence
* May not be optimized for specific use cases or browsers
* Can introduce additional dependencies and complexity

**Native JavaScript**

Pros:

* No added overhead from the library
* Optimized for performance by the browser engine
* Can provide better control over the execution flow

Cons:

* Requires more expertise in writing efficient code
* May not be as readable or maintainable, especially for complex operations

**Other Considerations**

When choosing between Lodash.js and native JavaScript, consider the following factors:

* **Code complexity**: If your operation is simple, native JavaScript might be sufficient. For complex operations, Lodash.js can provide a more convenient API.
* **Performance requirements**: If you need raw performance, native JavaScript might be a better choice. However, if you're willing to sacrifice some overhead for readability and convenience, Lodash.js can still provide good results.
* **Maintainability**: Consider the trade-off between code complexity and maintainability. While Lodash.js provides a standardized API, it also adds dependency on the library.

**Special JS Features or Syntax**

The provided benchmark tests do not use any special JavaScript features or syntax beyond standard ECMAScript 2015 (ES6) features.

If you're interested in exploring other specialized libraries or features, consider:

* **ES Modules**: introduced in ES2020, these provide a modern way to import modules and manage dependencies.
* **Web Workers**: allow running JavaScript code in separate threads, useful for performance-critical operations.
* **Native WebAssembly**: enables executing binary code directly in the browser, promising improved performance.

Keep in mind that each of these features has its own set of considerations, trade-offs, and potential pitfalls.

Related benchmarks:

Lodash.js vs Native 112 (version: 0)

Comparing performance of: Native vs Lodash.js filter

Created: 6 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):