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Last Lodash Test
(version: 0)
Comparing performance of:
Lodash vs Vanilla
Created:
5 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.core.js"></script>
Script Preparation code:
var numbers = [12,124,5436,3456,1,123,1324,342,231]
Tests:
Lodash
_.last(numbers)
Vanilla
numbers[numbers.length - 1]
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Lodash
Vanilla
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:129.0) Gecko/20100101 Firefox/129.0
Browser/OS:
Firefox 129 on Ubuntu
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Embed Benchmark Result
Test name
Executions per second
Lodash
788817600.0 Ops/sec
Vanilla
2834022656.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested, compared, and their pros/cons. **Benchmark Overview** The benchmark is comparing two approaches to accessing the last element of an array: 1. **Vanilla**: Using JavaScript's built-in indexing syntax (`numbers[numbers.length - 1]`) 2. **Lodash**: Using Lodash's `_.last()` function **What's Being Tested** The benchmark is measuring the performance difference between these two approaches on a specific dataset: `[12,124,5436,3456,1,123,1324,342,231]`. The test case uses Lodash version 4.17.11. **Options Compared** The benchmark is comparing the performance of: * **Vanilla**: Using JavaScript's built-in indexing syntax to access the last element of the array. * **Lodash**: Using Lodash's `_.last()` function to achieve the same result. **Pros/Cons of Each Approach** ### Vanilla Pros: * Lightweight: No additional library dependencies required. * Simple and familiar syntax for most developers. Cons: * May be slower due to indirect indexing ( accessing `length` property, then using indexing). * Can lead to performance issues if array length is large or frequently changed. ### Lodash Pros: * Optimized for performance: Lodash's implementation is likely to be faster than vanilla indexing. * Easier to read and maintain, as the code is abstracted away from the developer. Cons: * Adds an additional library dependency (Lodash). * May require more memory allocations or garbage collection due to the abstraction layer. **Library and Purpose** The Lodash library is a popular JavaScript utility library that provides a wide range of functions for common tasks. In this case, `_.last()` is used to return the last element of an array. **Special JS Feature/Syntax** None mentioned in the provided benchmark definition. **Other Alternatives** If you want to try alternative approaches, you can consider: * Using `Array.prototype[Array.prototype.length - 1]`: This uses the same indirect indexing as vanilla, but with a more explicit syntax. * Implementing your own `last()` function using JavaScript's built-in functions (e.g., `reduce()`, `slice()`). * Using other libraries or frameworks that provide similar functionality to Lodash. Keep in mind that these alternatives may have different performance characteristics and trade-offs compared to the vanilla and Lodash approaches.
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