Benchmark: lodash each & lodash map & native forEach

HTML Preparation code:


<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>

Script Preparation code:

var value = [{a: 30310}, {b: 100303}, {c: 3040494}, {d: 6542321}, {e: 13123531}]

Tests:

lodash each
_.each(value, function(v,i) {console.log(v)})
lodash map
_.map(value, function(v,i) {console.log(v)})
native forEach
value.forEach(function(v,i) {console.log(v)})

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash each
lodash map
native forEach

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Definition**

The benchmark definition is a JSON object that describes the test case. In this case, there are three test cases: `lodash each`, `lodash map`, and `native forEach`. The script preparation code is the same for all three test cases, which is a JavaScript array containing five objects with different values.

**Options Compared**

The options compared in this benchmark are:

* Using Lodash's `each` method versus the native `forEach` method.
* Using Lodash's `map` method versus the native `forEach` method.

These two methods are often used to iterate over arrays or objects, but they have different syntax and performance characteristics.

**Pros and Cons of Different Approaches**

Here are some pros and cons of each approach:

* **Lodash's `each` method**: Pros:
	+ Easier to read and write, especially for those familiar with Lodash's API.
	+ May be faster due to optimized native code generated by Lodash.
	Cons:
	+ Adds extra overhead from the Lodash library.
	+ May not be as efficient as the native `forEach` method.
* **Native `forEach` method**: Pros:
	+ No additional library overhead.
	+ May be more efficient than the Lodash `each` method due to optimized native code.
Cons:
	+ More verbose syntax, especially for complex iterations.
	+ May require more manual bookkeeping of iteration state.

**Lodash Library**

In this benchmark, Lodash is used in two ways: `each` and `map`. Lodash is a popular JavaScript library that provides a set of utility functions for common tasks. In this context, it's being used to provide a convenient API for iterating over arrays or objects. The `each` method applies a function to each element in the array, while the `map` method creates a new array with the results of applying a function to each element.

**Native JavaScript Features**

In this benchmark, the native JavaScript `forEach` method is used, which is a built-in language feature that allows iterating over arrays or objects. This method is optimized for performance and doesn't require any additional libraries or overhead.

Other Alternatives

There are other alternatives for iterating over arrays or objects in JavaScript, such as:

* For...of loop: A newer syntax for iterating over arrays or objects.
* Array.prototype.reduce(): A method that applies a function to each element in an array and accumulates a result.
* Set.iterate(): A method that iterates over the elements of a set.

However, these alternatives may not be as widely supported or optimized as the native `forEach` method.

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.149 Safari/537.36

Browser/OS: Chrome 80 on Mac OS X 10.15.3

View result in a separate tab

Test name	Executions per second
lodash each	12788.9 Ops/sec
lodash map	12131.7 Ops/sec
native forEach	10357.4 Ops/sec

Related benchmarks:

lodash each & lodash map & native forEach (version: 0)

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

Created: 4 years ago by: Guest

Jump to the latest result

lodash each

lodash map

native forEach

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):