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Lodash.js vs Native forked
(version: 0)
Comparing performance of:
Native vs Lodash.js filter
Created:
5 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 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.forEach(function (element, index) { element = element*2; });
Lodash.js filter
_.forEach(arr2, function (element, index) { element = element*2; });
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Native
Lodash.js filter
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark definition and test cases to help you understand what's being tested. **Benchmark Definition** The benchmark measures the performance difference between two approaches: using Lodash.js and using native JavaScript functions for array operations. The script preparation code creates three arrays (`arr1`, `arr2`, and `arr3`) with different sizes (100,000, 10,000,000, and 100,000,000 elements, respectively). This is done to test the performance of the benchmark on large datasets. **Test Cases** There are two individual test cases: 1. **Native**: This test case uses native JavaScript functions (`forEach`) to perform the required operation on `arr2`. The operation multiplies each element by 2. 2. **Lodash.js filter**: This test case uses Lodash.js's `_.forEach` function (specifically, the `filter` method) to perform the same operation on `arr2`. **Options Compared** The benchmark compares two options: * **Native JavaScript functions** (using `forEach`) * **Lodash.js functions** (`_._forEach`) **Pros and Cons of Each Approach** **Native JavaScript Functions** Pros: * Typically faster since it doesn't involve function call overhead * Can be optimized by the browser's Just-In-Time (JIT) compiler Cons: * Requires manual handling of array iteration, which can lead to more code and potential errors * May not work well with large datasets due to performance issues **Lodash.js Functions** Pros: * Easier to write and maintain since it abstracts away low-level details * Provides additional functionality (e.g., filtering) that might be useful in certain scenarios Cons: * Involves function call overhead, which can reduce performance * Requires importing the Lodash library, adding extra size and potential latency **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 functional programming. The `_.forEach` function used in this benchmark is part of the Lodash.js library. **Special JS Feature/Syntax (Not Applicable)** There are no special JavaScript features or syntax mentioned in this benchmark. **Alternatives** Other alternatives to Lodash.js for array operations include: * **Underscore.js**: Another popular utility library that provides similar functionality to Lodash.js. * **Array.prototype.forEach()`: Using the built-in `forEach` method on arrays, which can be faster than using a library function but requires more manual handling of iteration. * **Custom implementations**: Writing custom functions for array operations can provide optimal performance and control, but may require more code and expertise. In summary, this benchmark compares the performance of two approaches: native JavaScript functions (`forEach`) and Lodash.js functions (`_.forEach`). The choice between these options depends on the specific use case, performance requirements, and personal preference.
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