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classnames , clsx, classcat
(version: 0)
Comparing performance of:
classname(obj) vs classname(arr) vs clsx(obj) vs clsx(arr) vs classcat(obj) vs classcat(arr)
Created:
3 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/classnames/2.3.2/index.min.js'></script> <script src='https://unpkg.com/clsx@latest/dist/clsx.min.js'></script> <script type="module"> import classcat from "https://unpkg.com/classcat?module" window.classcat = classcat </script>
Script Preparation code:
var obj = { one: true, abcd: Math.random() <= 0.5, efghijkl: Math.random() <= 0.5, mnopqrstuvwxyz: Math.random() <= 0.5, efghijklmnopqrstuvwxyz: Math.random() <= 0.5, abcdefghijklmnopqrstuvwxyz: Math.random() <= 0.5, abcd: Math.random() <= 0.5, efghijkl: Math.random() <= 0.5, mnopqrstuvwxyz: Math.random() <= 0.5, efghijklmnopqrstuvwxyz: Math.random() <= 0.5, abcdefghijklmnopqrstuvwxyz: Math.random() <= 0.5, two: false, three: true } var arr = [ true && "one", Math.random() <= 0.5 && "abcd", Math.random() <= 0.5 && "efghijkl", Math.random() <= 0.5 && "mnopqrstuvwxyz", Math.random() <= 0.5 && "efghijklmnopqrstuvwxyz", Math.random() <= 0.5 && "abcdefghijklmnopqrstuvwxyz", Math.random() <= 0.5 && "abcd", Math.random() <= 0.5 && "efghijkl", Math.random() <= 0.5 && "mnopqrstuvwxyz", Math.random() <= 0.5 && "efghijklmnopqrstuvwxyz", Math.random() <= 0.5 && "abcdefghijklmnopqrstuvwxyz", false && "two", true && "three", ]
Tests:
classname(obj)
let result = window.classNames(obj, 'test classname')
classname(arr)
let result = window.classNames(arr, 'test classname')
clsx(obj)
clsx(obj)
clsx(arr)
clsx(arr)
classcat(obj)
window.classcat(obj)
classcat(arr)
window.classcat(arr)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (6)
Previous results
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Test case name
Result
classname(obj)
classname(arr)
clsx(obj)
clsx(arr)
classcat(obj)
classcat(arr)
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 dive into the world of JavaScript microbenchmarks! **Benchmark Overview** The provided benchmark compares the performance of three JavaScript libraries: `classnames`, `clsx`, and `classcat`. The benchmark tests how quickly each library can generate class names from two different inputs: an object (`obj`) and an array (`arr`). **What are we testing?** We're testing the execution time of each library when generating class names using different inputs. Specifically, we're comparing: 1. `classnames`: a popular utility library for generating class names. 2. `clsx`: a concise alternative to `classnames`. 3. `classcat`: another utility library for generating class names. **Options compared** The benchmark compares the execution time of each library when using different inputs: an object (`obj`) and an array (`arr`). This allows us to compare the performance of each library in various scenarios. **Pros and Cons of each approach** 1. `classnames`: * Pros: widely used, well-maintained, and supports many features. * Cons: might be slower than other libraries due to its comprehensive feature set. 2. `clsx`: * Pros: concise syntax, fast execution time, and supports a wide range of browsers. * Cons: might not support all the features of `classnames`. 3. `classcat`: * Pros: lightweight, fast execution time, and easy to use. * Cons: limited documentation and might require more manual configuration. **Library descriptions** 1. `classnames`: A popular utility library for generating class names based on input conditions. It supports a wide range of features, including conditional statements, prefix/suffix support, and CSS class manipulation. 2. `clsx`: A concise alternative to `classnames` that uses template literals to generate class names. It's designed for fast execution times and supports modern browsers. 3. `classcat`: A lightweight utility library for generating class names based on input conditions. It uses a different syntax than `classnames` and might require more manual configuration. **Special JS features or syntax** None mentioned in the provided benchmark definition. **Other alternatives** If you're looking for alternative libraries, consider: 1. `lodash`: A comprehensive utility library with many features related to class name generation. 2. `dom-class-lists`: A lightweight library specifically designed for generating class names based on input conditions. 3. `css-class-compiler`: A compiler that generates CSS classes from JavaScript code. Keep in mind that the choice of library depends on your specific use case and performance requirements. After this deep dive, I hope you have a better understanding of the benchmark's goals and the libraries being compared!
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