Benchmark: lodash vs es6 every

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/g/lodash@4(lodash.min.js+lodash.fp.min.js)"></script>

Script Preparation code:

function isEven(n) {
	return !(n%2);
}
var data = [...Array(20)].map((v, idx) => idx);

Tests:

lodash fp
_.map(isEven, data);
es6 map
data.map(isEven);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash fp
es6 map

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one month ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:136.0) Gecko/20100101 Firefox/136.0

Browser/OS: Firefox 136 on Mac OS X 10.15

View result in a separate tab

Test name	Executions per second
lodash fp	5263494.0 Ops/sec
es6 map	15681969.0 Ops/sec

Autogenerated LLM Summary (model gpt-4o-mini, generated one month ago):

LLMs can make mistakes. Check important info.

The benchmark defined in the JSON compares the performance of two approaches for mapping over an array of numbers to determine which numbers are even: using Lodash’s `map` function versus the native ES6 `map` method. The code utilizes the function `isEven(n)`, which checks whether a number `n` is even. The array being tested (`data`) consists of the numbers from 0 to 19, created using ES6 syntax.

### Options Compared

1. **Lodash FP `_.map(isEven, data)`**
   - **Library:** Lodash
     - Lodash is a popular JavaScript utility library that provides various functions for common programming tasks, including manipulating arrays and objects, and simplifying functions. The FP (Functional Programming) variant of Lodash is designed to support a more functional programming style, allowing for easier function composition and side-effect-free functions.
   - **Test Name:** "lodash fp"
  
2. **ES6 Native `data.map(isEven)`**
   - **Native JavaScript Method:** This is the built-in `map` method of arrays in ES6. It creates a new array populated with the results of calling a provided function (`isEven`) on every element in the calling array.
   - **Test Name:** "es6 map"

### Pros and Cons of Each Approach

#### Lodash FP `_.map`
- **Pros:**
  - Lodash provides additional functionality and can be more expressive in functional contexts.
  - It can simplify chaining and other functional operations due to its utility-first design.
- **Cons:**
  - Adding a library like Lodash increases the bundle size of the application, which can be a consideration for performance, especially in environments where load time and speed are critical.
  - The overhead of the library might lead to slower performance in scenarios where a native method is available and sufficient.

#### ES6 Native `map`
- **Pros:**
  - The native `map` method is optimized by JavaScript engines and is generally faster for basic mapping tasks due to minimized overhead.
  - No additional library is required, which keeps the application lightweight and dependencies low.
  - Widely supported in modern browsers and environments, making it highly portable.
- **Cons:**
  - May not provide as extensive functionality or composability as Lodash for complex data manipulations or functional programming styles.

### Benchmark Results
The results show that the native `es6 map` outperformed the `lodash fp` version significantly:
- **Executions Per Second:** 
  - `es6 map`: 15,681,969
  - `lodash fp`: 5,263,494

### Considerations
When deciding between these approaches, developers should assess their requirements regarding performance, code readability, and dependency management. While Lodash can enhance functional programming paradigms and make code potentially easier to read for those familiar with its syntax, its performance overhead for simple tasks like mapping may not be justifiable in many circumstances.

### Alternatives
Aside from Lodash and ES6’s `map`, other alternatives include:
- **Underscore.js:** Another utility library similar to Lodash, providing similar functionalities, but may have different performance characteristics.
- **Custom Implementations:** Developers may create their own mapping function, though this is typically discouraged due to the efficiency and optimization of built-in methods.
- **Libraries like RxJS:** For more complex asynchronous scenarios or when working with observables, libraries like RxJS can provide more reactive programming capabilities.

Ultimately, the choice of which approach to utilize will depend on the specific context of the project and the performance requirements of the application.

Related benchmarks:

lodash vs es6 every (version: 1)

lodash vs es6 every

Comparing performance of: lodash fp vs es6 map

Created: one month ago by: Guest

Jump to the latest result

lodash fp

es6 map

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated one month ago):