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Native map vs Lodash map
(version: 3)
Comparing performance of:
Lodash map vs Native map
Created:
5 years ago
by:
Registered User
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.min.js'></script>
Script Preparation code:
var arr = [1,2,3,4,5]; var addOne = (el) => el + 1
Tests:
Lodash map
_.map(arr, addOne)
Native map
arr.map(addOne)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Lodash map
Native map
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
28 days ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36
Browser/OS:
Chrome 146 on Mac OS X 10.15.7
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=627406" width="100%" height="500px"></iframe>
Test name
Executions per second
Lodash map
44336936.0 Ops/sec
Native map
14577102.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark JSON and explain what's being tested, compared options, pros and cons, and other considerations. **Benchmark Definition** The provided JSON represents a JavaScript microbenchmark that compares the performance of two approaches: 1. **Native map**: Using the built-in `map()` function in JavaScript. 2. **Lodash map**: Using the `map()` function from the Lodash library. **Options Compared** Two options are being compared: * Native map (built-in JavaScript function) * Lodash map (using a third-party library) **Pros and Cons** ### Native Map Pros: * Built-in functionality, likely to be optimized for performance * Simple and straightforward implementation * No dependencies on external libraries Cons: * May have limitations or quirks due to its built-in nature * Performance might vary across different browsers or environments ### Lodash Map Pros: * Optimized by a community of developers who contributed to the library * Provides more features and flexibility than native map * Can be used in a wider range of projects and applications Cons: * External dependency, which may introduce overhead or compatibility issues * May require additional setup or configuration **Library - Lodash** Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, string processing, and more. In this benchmark, Lodash is used to provide the `map()` function implementation. The use of an external library can introduce additional dependencies and potential issues, but it also brings in optimized performance and additional features. **Special JS Feature - Arrow Functions** The provided JSON uses arrow functions (e.g., `(el) => el + 1`) for both native map and Lodash map. Arrow functions are a concise syntax introduced in ECMAScript 2015, allowing for simpler function definitions. They can improve readability and reduce verbosity, but may also introduce minor performance overhead due to their syntactic sugar. **Other Considerations** * **Browser Support**: The benchmark is run on Chrome 104, which means the results may not be representative of other browsers or versions. * **Device Platform**: The test is run on a desktop platform, which might affect performance compared to mobile or web platforms. * **Operating System**: The test is run on Mac OS X 10.15.7, which might have specific hardware or software configurations that impact performance. **Alternatives** Other alternatives for comparing the performance of map functions could include: 1. Using a different external library (e.g., Ramda) instead of Lodash. 2. Implementing a custom `map()` function using a different programming style (e.g., loop-based). 3. Comparing with other JavaScript implementations, such as TypeScript or Node.js. Keep in mind that the choice of alternative will depend on specific requirements and goals for the benchmark.
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