Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
Lodash reduce vs Lodash FP reduce
(version: 0)
Comparing performance of:
Lodash reduce vs Lodash fp reduce
Created:
7 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdn.jsdelivr.net/g/lodash@4(lodash.min.js+lodash.fp.min.js)'></script>
Script Preparation code:
var fp = _.noConflict(); var array = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']; var reducer = (r, x) => r + x;
Tests:
Lodash reduce
_.reduce(array, reducer, '')
Lodash fp reduce
fp.reduce(reducer, '', array)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
Lodash reduce
Lodash fp reduce
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:139.0) Gecko/20100101 Firefox/139.0
Browser/OS:
Firefox 139 on Mac OS X 10.15
View result in a separate tab
Embed
Embed Benchmark Result
Test name
Executions per second
Lodash reduce
5420008.5 Ops/sec
Lodash fp reduce
2821768.8 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down what's being tested on the provided JSON. **Benchmark Definition** The benchmark is comparing two approaches to reducing an array of characters using Lodash, a popular JavaScript utility library. **Options Compared** There are two options being compared: 1. **Lodash `reduce`**: This approach uses the traditional Lodash `reduce` method, which applies a reducer function to each element in the array. 2. **Lodash FP `reduce`**: This approach uses the functional programming (FP) version of the Lodash `reduce` method, which is a more concise and expressive way of reducing arrays using pure functions. **Pros and Cons** Here are some pros and cons of each approach: * **Lodash `reduce`**: + Pros: Wide support, simple to implement. + Cons: Can be slower due to the overhead of the `reduce` method. * **Lodash FP `reduce`**: + Pros: More concise and expressive, can be faster since it doesn't require the overhead of the traditional `reduce` method. + Cons: May not be as widely supported or well-known. **Library and Purpose** Lodash (and Lodash FP) is a utility library that provides a set of functional programming helpers for JavaScript. The `reduce` method in Lodash is used to apply a reducer function to each element in an array, reducing it to a single output value. The FP version of the `reduce` method uses higher-order functions and pure functions to reduce arrays without modifying them. **Special JS Feature or Syntax** This benchmark doesn't use any special JavaScript features or syntax beyond standard ES6+ syntax. It's designed to be language-agnostic and focus on the performance comparison between two specific approaches. **Other Alternatives** If you're interested in exploring alternative libraries for reducing arrays, some popular options include: * **Array.prototype.reduce()**: This is a built-in method in modern JavaScript that applies a reducer function to each element in an array. * **Ramda**: A functional programming library that provides a `reduce` method with similar functionality to Lodash FP. * **Underscore.js**: Another utility library that includes a `reduce` method, although it may not have the same level of performance as Lodash or Ramda. The benchmark itself is well-designed and focuses on comparing the performance of two specific approaches using a controlled test case. The results should provide valuable insights into the relative performance characteristics of each approach.
Related benchmarks:
Lodash vs Lodash FP vs Native
Native vs Lodash vs Lodash FP
Native vs Lodash vs Lodash FP - v3
Lodash vs Lodash/fp
Comments
Confirm delete:
Do you really want to delete benchmark?