Benchmark: Lodash.js vs Native 1000

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js"></script>

Script Preparation code:

var data = new Array(1000).fill({'firstName':'First', 'lastName': 'Last'});


var printFullName = (firstName, lastName) => console.log(firstName+' '+lastName);

Tests:

Native
data.map(item => printFullName(item.firstName, item.lastName));
Lodash
_.map(data, item => printFullName(item.firstName, item.lastName))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native
Lodash

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.

Let's break down the provided benchmarking setup.

**What is being tested?**

The test compares two approaches to iterate over an array of objects and perform a specific operation on each item:

1. **Native JavaScript**: The native implementation uses the `map()` method without any additional libraries.
2. **Lodash.js**: Lodash is a utility library for JavaScript that provides functional programming helpers, including the `map()` function.

**Options compared**

The two options being compared are:

* Native JavaScript: Uses the built-in `map()` function in JavaScript to iterate over the array and apply the `printFullName` callback function to each item.
* Lodash.js: Uses the `_map()` function from the Lodash library to perform the same operation.

**Pros and Cons of each approach**

**Native JavaScript**

Pros:

* Typically faster since it doesn't involve an additional library
* Less memory overhead since no extra library code is loaded

Cons:

* May require more manual error handling and edge case considerations
* Can be less readable for complex operations due to the need for explicit callback functions

**Lodash.js**

Pros:

* Often provides a more concise and expressive way to write common operations
* Reduces manual error handling since Lodash handles edge cases for you
* Can improve code readability, especially for developers familiar with functional programming concepts

Cons:

* Typically slower due to the overhead of loading an additional library
* May add unnecessary memory usage if not carefully used

**Library: Lodash.js**

Lodash is a popular utility library for JavaScript that provides a wide range of functions for common tasks, such as array manipulation (`map()`, `filter()`, `reduce()`), string manipulation (`trim()`, `split()`, `join()`), and more. In this benchmark, the `_map()` function from Lodash is used to iterate over the array and apply the `printFullName` callback function to each item.

**Special JS feature/Syntax**

There are no special JavaScript features or syntaxes being tested in this benchmark.

**Alternative approaches**

If you wanted to test alternative approaches, here are a few examples:

* Using a custom implementation of the `map()` function using a simple loop instead of relying on the built-in browser implementation.
* Using another utility library like Moment.js for date manipulation (although it's not relevant to this specific benchmark).
* Testing the performance of Lodash vs. a native implementation using a different programming language, such as C++ or Rust.

Keep in mind that each approach has its own strengths and weaknesses, and the choice of which one to use depends on the specific requirements of your project.

Related benchmarks:

Lodash.js vs Native 1000 (version: 0)

Comparing performance of: Native vs Lodash

Created: 3 years ago by: Guest

Jump to the latest result

Native

Lodash

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):