Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
lodash flatmap vs Vanilla flatmap 3
(version: 1)
Comparing performance of:
Vanilla js flatmap vs lodash.flatMap
Created:
one year ago
by:
Registered User
Jump to the latest result
HTML Preparation code:
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js"></script>
Script Preparation code:
var x = [{a: 1, b: 2}, [{a: 736457, b: 35345},[{a: 76457, b: 5345},{a: 23431, b: 43242},{a: 14324, b: 2342},{a: 141, b: 65432}],{a: 234311, b: -43242},{a: 124324, b: 23432},{a: 31, b: 234234432}],{a: 11, b: 22}, {a: 421, b: 112}, [{a: 76457, b: 5345},{a: 23431, b: 43242},{a: 14324, b: 2342},{a: 141, b: 65432}]]
Tests:
Vanilla js flatmap
x.flatMap(x => x.a+x.b)
lodash.flatMap
_.flatMap(x,x => x.a+x.b)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
Vanilla js flatmap
lodash.flatMap
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36
Browser/OS:
Chrome 129 on Windows
View result in a separate tab
Embed
Embed Benchmark Result
Test name
Executions per second
Vanilla js flatmap
4125827.2 Ops/sec
lodash.flatMap
4297726.5 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what is being tested, compared, and their pros and cons. **Benchmark Overview** The benchmark compares two approaches to flatten an array of objects: vanilla JavaScript `flatMap` function and Lodash's `flatMap` function. The input data is a 2D array of objects, where each object has two properties: `a` and `b`. **Test Case Comparison** The benchmark consists of two test cases: 1. **Vanilla js flatmap**: This test case uses the built-in JavaScript `flatMap` function to flatten the input array. 2. **lodash.flatMap**: This test case uses Lodash's `flatMap` function, which is a higher-order function that takes an array and a transformation function as arguments. **Comparison** The benchmark measures the performance difference between these two approaches on the same input data. The results will show how much faster or slower one approach is compared to the other. **Pros and Cons of Each Approach:** 1. **Vanilla js flatmap**: * Pros: + Built-in function, no additional library required. + Easy to use and understand. * Cons: + May have performance limitations due to the inherent nature of JavaScript's array manipulation. + Can be slower than optimized libraries like Lodash. 2. **Lodash.flatMap**: * Pros: + Optimized for performance, often faster than vanilla JavaScript approaches. + Provides additional features and convenience methods. * Cons: + Requires an external library (Lodash). + May have a learning curve due to the higher-order function nature. **Library: Lodash** Lodash is a popular utility library for JavaScript that provides a wide range of functions for tasks like array manipulation, object transformation, and functional programming. The `flatMap` function in Lodash takes an array and a transformation function as arguments, returning a new array with the transformed values. **Special JS Feature/Syntax: None mentioned** There are no special JavaScript features or syntax used in this benchmark beyond the standard `flatMap` function. **Other Alternatives:** 1. **Array.prototype.flat()**: This is another approach to flatten an array, but it's not as optimized as Lodash's `flatMap`. 2. **ES6 Array.prototype.flatMap()**: If you're using a modern JavaScript environment, you can use the built-in `flatMap()` function, which was introduced in ES6. 3. **Other libraries**: There are other utility libraries like Underscore.js, Ramda, or even custom implementations that might offer better performance for specific use cases. Keep in mind that this benchmark is designed to compare two specific approaches, but it's essential to consider the broader context and potential alternatives when choosing a library or implementation for your project.
Related benchmarks:
hmmmmhmmm
Comparison of flatmap
lodash flatten vs array.flatMap corrected transform
_.flatten vs .flatMap
Comments
Confirm delete:
Do you really want to delete benchmark?