Benchmark: letsfindout - MeasureThat.net

HTML Preparation code:

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

Script Preparation code:

var users = [{
        'user': 'joey',
        'age': 32
    },
    {
        'user': 'ross',
        'age': 41
    },
    {
        'user': 'chandler',
        'age': 39
    }
]

Tests:

native
users.findIndex((v)=>v.user=='chandler')
lodash
_.findIndex(users,{'user':'chandler','age':39})

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
native
lodash

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks!

**What is being tested?**

The provided JSON represents two benchmark test cases:

1. `users.findIndex((v)=>v.user=='chandler')`: This is a native JavaScript function call that searches for an element in an array (`users`) based on a condition (`v.user=='chandler'`).
2. `_findIndex(users, {'user':'chandler','age':39})`: This is a function call using the Lodash library (`_findIndex`) to achieve the same result as the native JavaScript function.

**Comparison of options**

The two test cases compare different approaches:

* **Native JavaScript**: The first test case uses a native JavaScript function, which means it relies on the built-in `findIndex` method and its associated logic.
* **Lodash**: The second test case uses the Lodash library (`_findIndex`) to achieve the same result.

**Pros and Cons of each approach**

Here are some pros and cons for each approach:

* **Native JavaScript**:
	+ Pros: Built-in, no additional dependency required (e.g., no extra HTTP request), easy to understand.
	+ Cons: May not be as efficient or optimized as a specialized library like Lodash.
* **Lodash**:
	+ Pros: Can provide better performance and optimization for certain use cases, provides more flexibility with its various options and utilities.
	+ Cons: Requires an additional dependency (the Lodash library), may introduce overhead due to the additional HTTP request.

**Library explanation**

In this case, the Lodash library (`lodash.min.js`) is used. Lodash is a popular JavaScript utility library that provides a set of functions and methods for various tasks, such as array manipulation, object manipulation, function chaining, and more. The `_findIndex` method in particular is designed to search for an element in an array based on a condition.

**Special JS features or syntax**

There are no special JavaScript features or syntax mentioned in the provided benchmark code that require any specific knowledge or expertise. However, it's worth noting that the use of Lodash does introduce some additional complexity and dependency compared to using native JavaScript only.

**Other alternatives**

If you were to consider other alternatives for implementing this type of search functionality:

* **Vanilla JavaScript**: You could implement your own custom search function using vanilla JavaScript without relying on any external libraries.
* **Other libraries**: Other libraries like `lodash-es`, `moment.js` (for date-related functions), or `underscore.js` might be considered as well, depending on the specific requirements of your project.

In summary, the two test cases compare different approaches to searching for an element in an array: native JavaScript vs. Lodash. The choice between these options depends on factors like performance, complexity, and dependency management.

Related benchmarks:

letsfindout (version: 0)

d

Comparing performance of: native vs lodash

Created: 5 years ago by: Guest

Jump to the latest result

native

lodash

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):