Benchmark: test lodash uniqWith

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 = [{
        place: "here",
        name: "x",
        other: "other stuff1"
    },
    {
        place: "there",
        name: "x",
        other: "other stuff2"
    },
    {
        place: "here",
        name: "y",
        other: "other stuff4"
    },
    {
        place: "here",
        name: "z",
        other: "other stuff5"
    }
]

Tests:

native
[...new Map(data.map(item => [item.name, item])).values()]
lodash
_.uniqWith(data, _.isEqual);

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):

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Let's break down the JavaScript microbenchmark on MeasureThat.net.

**Benchmark Purpose**

The benchmark measures how fast two approaches are to remove duplicates from an array using `_.uniqWith` (a function from the Lodash library) and a native approach. The purpose is to compare the performance of using a third-party library (Lodash) versus implementing the same logic without relying on external libraries.

**Approaches Compared**

Two approaches are compared:

1. **Native**: This approach uses the JavaScript built-in `Map` object to remove duplicates from the array, and then converts it back to an array.
2. **Lodash**: This approach uses the `_.uniqWith` function from Lodash to remove duplicates from the array.

**Pros and Cons of Each Approach**

### Native Approach

Pros:

* No dependencies on external libraries
* Can be faster since no overhead from library loading or parsing
* More control over implementation details

Cons:

* Requires a good understanding of the `Map` data structure and its limitations
* May not be as efficient for large datasets due to the conversion step
* Less readable code compared to using a library

### Lodash Approach

Pros:

* Convenient and well-maintained library with optimized implementations
* Easy to understand and implement, especially for those familiar with functional programming
* Fast execution times since Lodash has implemented optimizations for performance

Cons:

* External dependency on the Lodash library
* May slow down initial application startup due to lazy loading of the library
* Less control over implementation details compared to a native approach

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, string manipulation, and object manipulation. `_.uniqWith` is a function that removes duplicates from an array while preserving the original data structure.

In this benchmark, Lodash's `_.uniqWith` function is used with the `_.isEqual` function to compare elements in the array. This approach allows for a more concise and readable implementation compared to writing custom logic.

**Special JS Feature/Syntax**

None of the approaches mentioned rely on special JavaScript features or syntax that would make them inaccessible to most developers. The use of the `Map` object and Lodash's functions are standard JavaScript concepts and libraries, respectively.

**Alternatives**

Other alternatives for removing duplicates from an array include:

1. **Using a `Set` data structure**: Converting an array to a `Set` removes duplicates since sets automatically eliminate duplicate elements.
2. **Using a custom implementation with loops**: Writing a custom loop-based solution without using any external libraries or built-in functions like `Map`.
3. **Using other library functions**: Other libraries, such as Moment.js or jQuery, may provide similar functionality for removing duplicates.

However, these alternatives might not be as efficient or concise as the native approach using `Map` or Lodash's `_.uniqWith`.

Related benchmarks:

test lodash uniqWith (version: 0)

Comparing performance of: native vs lodash

Created: 4 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):