Benchmark: Underscore vs Array functions

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js'></script>

Script Preparation code:


  var data = _.range(10000).map(function(i) {
    return {
      name : name+i,
      id: i
    }
  });

Tests:

underscore
var result = _.pluck(data,'id');
native
var result = data.map(item => item.id);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
underscore
native

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):

LLMs can make mistakes. Check important info.

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

**Benchmark Definition**

The benchmark definition defines two test cases:

1. **Underscore vs Array functions**: This test case compares the performance of using the Underscore.js library (`_`) to achieve a specific task versus using native JavaScript array methods.
2. The tasks are:
	* `var result = _.pluck(data,'id');`: Using Underscore.js's `pluck` function to extract a specific property from an array of objects.
	* `var result = data.map(item => item.id);`: Using native JavaScript's `map` method to achieve the same result.

**Options Compared**

The two options being compared are:

1. **Underscore.js (`_`)**: A popular JavaScript library that provides functional programming utilities, including array manipulation methods.
2. **Native JavaScript Array Methods**: Built-in methods for manipulating arrays in JavaScript, such as `map`, `pluck`, etc.

**Pros and Cons**

**Underscore.js**

Pros:

* Provides a concise way to perform common tasks, making code more readable and maintainable.
* Can be faster than native methods for certain operations (e.g., due to optimized internal implementation).

Cons:

* Requires an additional library download and inclusion in the project, adding overhead.
* May not be suitable for projects that require low memory usage or specific performance optimizations.

**Native JavaScript Array Methods**

Pros:

* No additional library required, reducing overhead.
* Provides fine-grained control over the execution pipeline, allowing for more flexible optimization.

Cons:

* Code may become less readable and more verbose when using native methods instead of Underscore.js's concise syntax.

**Library: Underscore.js**

Underscore.js is a popular JavaScript utility library that provides a set of functional programming tools, including array manipulation methods. The `pluck` function used in the benchmark definition is one such method, which extracts a specific property from an array of objects.

**Special JS Feature/Syntax**

There's no special JavaScript feature or syntax being tested here. Both options use standard JavaScript features: Underscore.js's array methods and native JavaScript array methods.

**Other Alternatives**

If you're interested in exploring alternative approaches for similar tasks, consider:

1. **Lodash**: Another popular utility library that provides a wide range of functional programming tools, including array manipulation methods.
2. **ES6+ Array Methods**: Modern JavaScript's standard library offers improved array methods like `find`, `filter`, and `reduce` which can be used for similar operations.
3. **Custom-built functions**: You could write your own custom functions to achieve the desired result, potentially leading to performance optimizations specific to your use case.

Keep in mind that the choice of approach depends on your project's requirements, team expertise, and personal preferences.

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:78.0) Gecko/20100101 Firefox/78.0

Browser/OS: Firefox 78 on Mac OS X 10.15

View result in a separate tab

Test name	Executions per second
underscore	11035.6 Ops/sec
native	13089.5 Ops/sec

Related benchmarks:

Underscore vs Array functions (version: 2)

Comparing performance of: underscore vs native

Created: 5 years ago by: Registered User

Jump to the latest result

underscore

native

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):