Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
Lodash.js wrapper vs js native
(version: 0)
Comparing performance of chained native map and filter operations against chained lodash wrapper methods
Comparing performance of:
Native vs Lodash.js chained wrapper
Created:
4 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js"></script>
Script Preparation code:
var max1 = 100000; // 100,000 (100 Thousand) var max2 = 10000000; // 10,000,000 (10 Million) var max3 = 100000000; // 100,000,000 (100 Million) var arr1 = []; //for (var i = 0; i <= max1; i++) { arr1.push(i); } var arr2 = []; for (var i = 0; i <= max2; i++) { arr2.push(i); } var arr3 = []; //for (var i = 0; i <= max3; i++) { arr3.push(i); }
Tests:
Native
arr2 .map((element) => element ** 2) .map((element) => element -10) .filter((element) => element % 2 === 0) .map((element) => `result is ${element}`);
Lodash.js chained wrapper
_(arr2) .map((element) => element ** 2) .map((element) => element -10) .filter((element) => element % 2 === 0) .map((element) => `result is ${element}`) .value();
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
Native
Lodash.js chained wrapper
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested. **Benchmark Definition** The benchmark compares the performance of two approaches: 1. **Chained Native Methods**: This approach uses native JavaScript methods `map()`, `filter()`, and `toString()` to process an array. 2. **Lodash.js Chained Wrapper**: This approach uses the Lodash library's chainable methods `map()`, `filter()`, and `toString()` to process an array. **Options Compared** The benchmark compares the performance of these two approaches for different array sizes: * `max1`: 100,000 elements * `max2`: 10,000,000 elements * `max3`: 100,000,000 elements **Pros and Cons** **Chained Native Methods** Pros: * No external library dependencies * Potential for better optimization by the JavaScript engine Cons: * Can be slower due to overhead of method calls and array operations * May not perform as well with large arrays or complex operations **Lodash.js Chained Wrapper** Pros: * Provides a more readable and maintainable code structure * Optimized for performance and ease of use Cons: * Requires an external library dependency (Lodash) * May have overhead due to the library's initialization and garbage collection **Other Considerations** The benchmark also considers the following factors: * **Browser**: The results are measured in a Firefox 91 browser running on Linux. * **Device Platform**: The test is run on a desktop device. **Library: Lodash.js** Lodash.js is a popular JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, string manipulation, and data transformation. In this benchmark, Lodash's `map()`, `filter()`, and `toString()` methods are used to process an array. **Special JS Feature/Syntax** There is no specific special JavaScript feature or syntax being tested in this benchmark. The focus is on comparing the performance of two different approaches using standard JavaScript methods. If you're interested in exploring other alternatives, some potential options include: * Using a different library like Underscore.js or Ramda * Implementing custom array operations for better optimization * Using a just-in-time (JIT) compiler to optimize JavaScript code Keep in mind that the choice of approach will depend on the specific requirements and constraints of your project.
Related benchmarks:
Native vs Lodash.js map
Lodash.js vs Native map test
Lodash.js vs Native (filter)
Lodash difference vs Set & Filter vs Map
Comments
Confirm delete:
Do you really want to delete benchmark?