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(version: 0)
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Comparing performance of:
Lodash vs Native
Created:
7 years ago
by:
Registered User
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HTML Preparation code:
<script>https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.core.js</script>
Script Preparation code:
var data = [1,2,3,4,5,6,7,8,9];
Tests:
Lodash
_.chunk(data, 2);
Native
const chunk = (arr, chunks)=>{ return arr.reduce((acc, itr, index)=>{ console.log(acc, itr, index); return index % chunks === 0 ? [...acc, [itr]] : [...acc.slice(0, -1), [...acc.slice(-1)[0], itr]]; }, []); }; chunk(data, 2);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Lodash
Native
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON data for measuring JavaScript microbenchmarks on MeasureThat.net. **Benchmark Definition** The benchmark definition is a JSON object that contains metadata about the test case, including its name and description. The only relevant information here is the script preparation code, which specifies the variables and functions used in the benchmark. In this case, the `data` variable is initialized with an array of numbers from 1 to 9. **Html Preparation Code** The HTML preparation code includes a script tag that loads the Lodash library (version 4.17.11) using a CDN. This library is not native to JavaScript and provides additional functions for functional programming. **Individual Test Cases** There are two test cases in this benchmark: 1. **Lodash**: The first test case uses the `_.chunk()` function from the Lodash library, which splits an array into chunks of a specified size. 2. **Native**: The second test case implements a custom chunking algorithm using JavaScript's built-in functions. **Library: Lodash** Lodash is a popular JavaScript utility library that provides various functions for functional programming, data manipulation, and more. In this case, the `_.chunk()` function is used to split an array into chunks of a specified size. Lodash is not native to JavaScript and relies on external dependencies (in this case, the CDN). **Pros of using Lodash:** * Provides a convenient and efficient way to perform common data manipulation tasks * Reduces code duplication and improves readability **Cons of using Lodash:** * Adds an external dependency that may introduce additional overhead * May not be suitable for every use case or performance-critical application **Native Chunking Algorithm** The custom chunking algorithm implemented in the "Native" test case uses JavaScript's built-in functions to achieve similar results. This approach allows for more fine-grained control over the chunking process and may be more suitable for specific use cases. **Pros of using a native chunking algorithm:** * Avoids adding an external dependency * Provides more flexibility and customization options **Cons of using a native chunking algorithm:** * Requires more code and manual effort to implement correctly * May not be as efficient or concise as the Lodash implementation **Other Considerations:** * The benchmark results are reported in terms of executions per second, which provides an indication of performance. * The "DevicePlatform" and "OperatingSystem" fields suggest that the benchmark is running on a desktop platform with a Windows operating system. **Alternatives to MeasureThat.net:** If you're interested in creating your own JavaScript benchmarks or comparing different implementations, here are some alternatives: * jsperf (now obsolete) * Chrome DevTools' Benchmarking API * Node.js's `process` module for benchmarking These tools and APIs provide similar functionality to MeasureThat.net but may have different features, limitations, or requirements.
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