Benchmark: lodash _.map vs native map true version

HTML Preparation code:

<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.core.js"></script>

Script Preparation code:

var array = [{id: 'a'}, {id: 'c'}, {id: 'b'}]

Tests:

warm up
array.map(a => console.log(a.id))
native
array.map(a => console.log(a.id))
_.map
_.map(array, a => console.log(a.id))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
warm up
native
_.map

Fastest: N/A

Slowest: N/A

Autogenerated LLM Sumamry (model llama3.2:3b, generated 4 days ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of microbenchmarks and explore what's being tested on this particular benchmark.

**What is being tested?**

The provided JSON represents a JavaScript microbenchmark that compares the performance of three approaches:

1. **Lodash's `_map` function**: This is a popular utility library for functional programming in JavaScript.
2. **Native JavaScript `map` method**: This is the built-in array method that allows iterating over an array using a callback function.

**Options being compared**

The benchmark compares the performance of these two approaches when:

* Using Lodash's `_map` function
* Using the native JavaScript `map` method

These are the primary options being compared, and both have their own pros and cons:

**Lodash's `_map` function:**

Pros:

* Provides a higher-level abstraction for functional programming, making code more concise and readable.
* Often includes additional features like caching and memoization that can improve performance.

Cons:

* Adds an extra layer of complexity due to the need to import and initialize the Lodash library.
* May introduce additional overhead due to the JavaScript interpreter's behavior when dealing with external libraries.

**Native JavaScript `map` method:**

Pros:

* Is a lightweight, built-in function that doesn't require any additional imports or setup.
* Can provide good performance since it's implemented in native code.

Cons:

* Requires more manual code management, as developers need to define the callback function and handle edge cases manually.

**Library (Lodash) and its purpose**

Lodash is a popular JavaScript library for functional programming that provides a wide range of utility functions. In this benchmark, Lodash's `_map` function is used to perform the mapping operation on an array. The library also includes other useful functions like `forEach`, `reduce`, and many more.

**Special JS feature or syntax**

This benchmark does not explicitly use any special JavaScript features or syntax beyond the standard JavaScript language. However, it does rely on modern JavaScript capabilities like ES6-style arrow functions (`a => console.log(a.id)`).

**Other alternatives**

If you're interested in exploring alternative approaches to mapping arrays in JavaScript, here are a few options:

1. **`forEach` method**: While not as concise as the `map` method, using `forEach` can be an alternative approach for iterating over an array.
2. **`reduce` method**: This method can also be used to transform an array by applying a callback function to each element and accumulating the results.
3. **Manual loops with `for` or `while`**: For those who prefer a more low-level, manual approach, using traditional `for` loops or `while` loops can achieve the same result.

Keep in mind that these alternatives may have different performance characteristics and code readability trade-offs compared to the `map` method.

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36

Browser/OS: Chrome 90 on Linux

View result in a separate tab

Test name	Executions per second
warm up	56994.5 Ops/sec
native	56880.7 Ops/sec
_.map	42076.6 Ops/sec

Related benchmarks:

lodash _.map vs native map true version (version: 0)

Comparing performance of: warm up vs native vs _.map

Created: 3 years ago by: Guest

Jump to the latest result

warm up

native

_.map

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Sumamry (model llama3.2:3b, generated 4 days ago):