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Lodash.js vs Native Map 11111111232312
(version: 0)
Comparing performance of:
Native vs Lodash.js filter
Created:
2 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.map(function (element, index) { return element*2; });
Lodash.js filter
_.map(arr2, function (element, index) { return 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):
**Overview of the Benchmark** The provided JSON represents a JavaScript microbenchmark test case for comparing the performance of two approaches: native JavaScript map function and Lodash.js map function. **Options Compared** Two options are compared: 1. **Native Map Function**: The native JavaScript map function, which is built-in to most modern browsers. 2. **Lodash.js Map Function**: A popular JavaScript library that provides a utility function `map` for iterating over arrays. **Pros and Cons of Each Approach** **Native Map Function:** Pros: * Built-in functionality, no additional library dependencies * Potential performance advantage due to optimized implementation Cons: * May have limitations in terms of browser support or version compatibility * Execution may be slower due to interpretation overhead (e.g., parsing, execution) **Lodash.js Map Function:** Pros: * Well-tested and widely used library with a strong community backing * Can provide additional functionality beyond basic mapping (e.g., filtering, sorting) Cons: * Adds an extra dependency (library) that may slow down execution * May introduce additional overhead due to library-specific features or implementation **Library: Lodash.js** Lodash.js is a popular JavaScript utility library developed by Isaac Schankar. It provides a wide range of functions for tasks such as array manipulation, object manipulation, and functional programming. In this benchmark, the `map` function from Lodash.js is used to transform the elements of an array by multiplying each element by 2. **Special JS Feature/Syntax** There is no explicit mention of any special JavaScript features or syntax in this benchmark. However, it's worth noting that modern browsers often support additional features like `let`, `const`, and arrow functions, which may affect execution performance. But these are not specific to the map function and can be ignored for the purpose of this analysis. **Other Alternatives** If you're interested in exploring alternative approaches, consider the following options: * **Underscore.js**: Another popular JavaScript utility library that provides a `map` function similar to Lodash.js. * **Array.prototype.reduce()`: A native JavaScript method for reducing an array by applying a transformation function to each element and accumulating the results. * **Custom implementation**: You could also implement your own map function using basic loop constructs or recursive functions. These alternatives may offer different trade-offs in terms of performance, readability, and maintainability.
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