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Lodash.js vs Nativexxxxx
(version: 0)
Comparing performance of:
Native vs Lodash.js filter
Created:
4 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>
Script Preparation code:
var max3 = 100000000; // 100,000,000 (100 Million) var arr3 = []; for (var i = 0; i <= max3; i++) { arr3.push(i); }
Tests:
Native
arr3.forEach(function (element, index) { element = element*2; });
Lodash.js filter
_.each(arr3, function (element, index) { element = element*2; });
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
Native
Lodash.js filter
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
3 days ago
)
User agent:
Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Mobile Safari/537.36
Browser/OS:
Chrome Mobile 147 on Android
View result in a separate tab
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Embed Benchmark Result
Test name
Executions per second
Native
1.0 Ops/sec
Lodash.js filter
1.2 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON benchmark definition and its test cases. **Benchmark Definition:** The benchmark measures the performance of two approaches: 1. **Native**: This approach uses the built-in JavaScript `forEach` method to iterate over an array and perform a transformation on each element. 2. **Lodash.js filter**: This approach uses the `_.each` function from the Lodash library to achieve the same result as the Native approach. **Options being compared:** * The two approaches being compared are native JavaScript's `forEach` method versus the `_.each` function from the Lodash library. * The primary metric being measured is the execution speed of each approach, represented by the `ExecutionsPerSecond` value in the benchmark results. **Pros and Cons:** * **Native (JavaScript `forEach`)**: + Pros: - Typically faster since it's a built-in method optimized for performance. - Easier to understand and implement for developers familiar with JavaScript. + Cons: - May not be as flexible or powerful as the Lodash library's implementation. * **Lodash.js filter (`_.each`)**: + Pros: - Often more readable and maintainable due to its explicit function signature and callback interface. - Can be more flexible, allowing for additional transformations or filtering. + Cons: - May be slower than native JavaScript's `forEach` method due to the overhead of the Lodash library. - Requires an external dependency (the Lodash library) to be included. **Library:** The Lodash library is a popular JavaScript utility library that provides various functional programming functions, including `_.each`. The library aims to provide a convenient and expressive way to perform common tasks, making code more readable and maintainable. **Special JS feature or syntax:** There doesn't appear to be any specific special JS features or syntax used in the benchmark definition. Both approaches utilize standard JavaScript methods (`forEach`) and Lodash functions (`_.each`). **Alternatives:** If you were to implement this benchmark using a custom approach, some alternatives to consider: * Using `Array.prototype.map()` instead of `forEach` for the native approach. * Implementing a custom iterative loop with a callback function for the Native approach. * Using other Lodash functions (e.g., `_.map()`, `_.filter()`) that provide similar functionality to `_each`. Keep in mind that any alternative implementation would need to account for potential performance differences and maintainability trade-offs. When interpreting the benchmark results, note that the `ExecutionsPerSecond` value represents the number of iterations performed by each approach per second on a single execution. The higher value indicates better performance.
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