Benchmark: lodash map, foreach, for vs native for and map

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

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

Tests:

lodash map
const aux = []; _.map(data, el => {aux.push(el.filtering)});
lodash forEach
const aux = []; _.forEach(data, el => {aux.push(el.filtering)});
native for
const aux = []; for (let index = 0; index < data.length; index++) { const el = data[index]; aux.push(el.filtering) }
native map
const aux = []; data.map(el => {aux.push(el.filtering)})

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash map
lodash forEach
native for
native map

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data and explain what's being tested.

**Benchmark Definition**

The benchmark is comparing four approaches:

1. **Lodash `map`**: This uses the `lodash` library to perform an array transformation using the `map` function.
2. **Lodash `forEach`**: This uses the `lodash` library to iterate over an array using the `forEach` function and push elements to a new array.
3. **Native `for` loop**: This uses a traditional `for` loop to iterate over the array and push elements to a new array.
4. **Native `map` function**: This uses the built-in JavaScript `map` function to perform an array transformation.

**Options Compared**

Each option is compared in terms of execution speed, measured by the number of executions per second (ExecutionsPerSecond).

**Pros and Cons**

1. **Lodash `map` and `forEach`**: These use a library to simplify iteration over arrays. They are likely to be faster than native implementations because they avoid the overhead of manual loop management.
2. **Native `for` loop**: This is a traditional approach that requires manual loop management, which can lead to slower performance due to the overhead of incrementing indices and checking loop conditions.
3. **Native `map` function**: While this is built-in and optimized for performance, it may not be as efficient as using a library like Lodash, especially for large datasets.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides various functions for tasks such as array manipulation, string manipulation, and object manipulation. In this benchmark, `lodash` is used to provide the `map` and `forEach` functions, which simplify iteration over arrays.

**Special JS Feature/Syntax**

None of the test cases use special JavaScript features or syntax.

**Other Alternatives**

If you need to iterate over an array in JavaScript, you can also use other approaches such as:

* **Using a for...of loop**: This is a more modern approach that uses a `for` loop with a variable declared using the `let` keyword.
* **Using `reduce()`**: This function reduces an array by applying a function to each element and returns the accumulated value.

However, these alternatives may not be as straightforward to implement as the options compared in this benchmark.

Latest run results:

Run details: (Test run date: 4 days ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36

Browser/OS: Chrome 130 on Windows

View result in a separate tab

Test name	Executions per second
lodash map	42.8 Ops/sec
lodash forEach	62.2 Ops/sec
native for	10.3 Ops/sec
native map	50.9 Ops/sec

Related benchmarks:

lodash map, foreach, for vs native for and map (version: 0)

Comparing performance of: lodash map vs lodash forEach vs native for vs native map

Created: 4 years ago by: Guest

Jump to the latest result

lodash map

lodash forEach

native for

native map

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):