Benchmark: Map: Lodash vs Native JS

HTML Preparation code:

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

Script Preparation code:

var data = Array(1000000).fill({ filtering: true, mapping: 42 });

Tests:

Native filter-map
data.map((obj) => obj.mapping)
Lodash filter-map
_.map(data, 'mapping')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native filter-map
Lodash filter-map

Fastest: N/A

Slowest: N/A

Latest 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 explaining the benchmark and its various components.

**Benchmark Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. In this case, we have two individual test cases: "Native filter-map" and "Lodash filter-map". The primary goal of these benchmarks is to compare the performance of mapping over an array using both native JavaScript methods and the Lodash library.

**Test Cases**

There are two test cases:

1. **Native filter-map**: This test case uses the native `map()` function in JavaScript to iterate over the `data` array and perform a filtering operation on each element. The `filtering` property of each object is checked, and if it's `true`, the `mapping` property is returned.
2. **Lodash filter-map**: This test case uses the Lodash library to achieve the same result as the native implementation. The `_map()` function from Lodash is used to iterate over the `data` array and perform a filtering operation on each element.

**Options Compared**

The two options being compared are:

* **Native JavaScript (`map()`)**: This approach uses the built-in `map()` function in JavaScript, which is an array method that creates a new array with the results of applying a provided function to every element in this array.
* **Lodash library (`_.map()`)**: This approach uses the `_map()` function from Lodash, a popular utility library for JavaScript. The `_.map()` function takes two arguments: the input data and a callback function that performs the desired operation.

**Pros and Cons of Each Approach**

Here are some pros and cons of each approach:

* **Native JavaScript (`map()`)**
	+ Pros:
		- Highly optimized and efficient
		- Wide support across browsers and environments
		- Low overhead in terms of memory and CPU usage
	+ Cons:
		- May require more code and complexity to achieve the desired result
		- Not as extensive a set of utility functions as Lodash
* **Lodash library (`_.map()`)**
	+ Pros:
		- Provides an extensive set of utility functions, including `map()`
		- Simplifies code and reduces boilerplate
		- Can be faster than native implementation in some cases due to caching and other optimizations
	+ Cons:
		- Adds extra overhead in terms of memory and CPU usage due to the library's presence
		- May not be supported by all browsers or environments

**Library Used**

In this case, the Lodash library is used. The `_map()` function from Lodash is a popular utility function that allows you to iterate over an array and perform a transformation on each element.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntax mentioned in this benchmark. Both test cases use standard JavaScript methods (native `map()`) and library functions (`_.map()`).

**Other Alternatives**

If you're interested in alternative approaches to mapping over an array, some options include:

* **Array.prototype.forEach()**: This method is similar to `map()`, but it returns `undefined` for each element instead of a new value.
* **for...of loop**: This loop construct allows you to iterate over an array and perform a transformation on each element without using the `map()` function.
* **ES6's `Array.prototype.map()` with parallel processing libraries**: Some libraries, such as ParallellJS or WebWorkers, allow you to use parallel processing to speed up computationally intensive operations like mapping over an array.

Keep in mind that these alternatives may have different performance characteristics and trade-offs compared to the native implementation and Lodash library.

Related benchmarks:

Map: Lodash vs Native JS (version: 0)

Comparing performance of: Native filter-map vs Lodash filter-map

Created: 4 years ago by: Guest

Jump to the latest result

Native filter-map

Lodash filter-map

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):