Benchmark: Lodash flatten & map vs native js

HTML Preparation code:

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

Script Preparation code:

const arr = [{
        value: 1
    },
    [{
        value: 2
    }], {
        value: 5
    }
];

Tests:

native 1
[{ value: 1 }, [{ value: 2 }], { value: 5 } ].reduce( (a,{value}) => a.concat(value), [])
_.flatten
_.flatten(_.map([{ value: 1 }, [{ value: 2 }], { value: 5 } ],({ value }) => value))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
native 1
_.flatten

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

**Benchmark Definition**

The benchmark is designed to compare two approaches: using Lodash's `flatten` and `map` functions, and implementing it natively in JavaScript.

**Options Compared**

There are two options being compared:

1. **Native JavaScript**: This approach uses only built-in JavaScript features to flatten an array of arrays.
2. **Lodash `flatten` and `map`**: This approach uses the Lodash library's `flatten` function, which takes a single argument (the input array), and then pipes another function (`map`) to it.

**Pros and Cons**

Here are some pros and cons for each approach:

**Native JavaScript**

Pros:

* Typically faster since it doesn't involve an external library.
* Can be more predictable and easier to debug.

Cons:

* Requires manual implementation of the flattening logic.
* May not work as well with more complex input structures or edge cases.

**Lodash `flatten` and `map`**

Pros:

* Easier to implement, especially for those familiar with functional programming concepts.
* Can handle more complex input structures out-of-the-box.

Cons:

* Slower due to the overhead of using an external library.
* May have performance issues if not optimized correctly.

**Library - Lodash**

Lodash is a popular JavaScript utility library that provides various functions for tasks like array manipulation, string manipulation, and object manipulation. In this case, `flatten` function takes an input array and returns a new flattened array. The `_` prefix in the benchmark definition is likely a convention used by the creator to indicate that it's part of the Lodash library.

**Special JS Feature - Pipe Operator**

The pipe operator (`|>`) is a shorthand for method chaining, which allows you to write more readable code. It was introduced in ECMAScript 2017 (ES2017) and has since become a popular feature in JavaScript development. The use of the pipe operator in this benchmark helps to illustrate how functional programming concepts can be applied to array manipulation.

**Other Alternatives**

If you're looking for alternatives to Lodash's `flatten` function, here are a few options:

* Use the `Array.prototype.reduce()` method and concatenate arrays using the `+` operator.
* Utilize the `flat()` method introduced in ECMAScript 2019 (ES2019), which flattens an array of arrays.

Keep in mind that each approach has its trade-offs, and the best choice depends on your specific use case and performance requirements.

Related benchmarks:

Lodash flatten & map vs native js (version: 0)

Comparing performance of: native 1 vs _.flatten

Created: 3 years ago by: Guest

Jump to the latest result

native 1

_.flatten

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):