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test date compare
(version: 0)
Benchmark.js
Comparing performance of:
native vs dayjs
Created:
2 years ago
by:
Guest
Go to the latest result
HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/dayjs@1/dayjs.min.js"></script> <script src="https://cdn.jsdelivr.net/npm/dayjs@1/locale/ja.js"></script>
Tests:
native
(new Date()).toLocaleDateString('ja-JP', {year:'numeric', month:'2-digit', day:'2-digit'}).replaceAll('/', '')
dayjs
dayjs().locale('ja').format('YYYYMMDD')
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
native
dayjs
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0
Browser/OS:
Chrome 122 on Mac OS X 10.15.7
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Embed
Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=507605" width="100%" height="500px"></iframe>
dayjs
188K/s
native
21K/s
View exact numbers
Test name
Executions per second
✓
dayjs
188,403 Ops/sec
native
21,378 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll explain the benchmark and provide an overview of the options being compared. **Benchmark Definition** The provided JSON represents a JavaScript microbenchmark, specifically comparing two approaches to format dates in Japanese locale: 1. **Native**: This approach uses the built-in `Date` object in JavaScript to create a date string in Japanese locale. 2. **dayjs**: This approach uses the dayjs library to format the date. **Options being compared** The benchmark is comparing the performance of these two approaches: * Native: Using the built-in `Date` object and its methods (specifically, `toLocaleDateString`) to format a date string in Japanese locale. * dayjs: Using the dayjs library to format a date string in Japanese locale. **Pros and Cons** ### Native Approach Pros: * No additional dependency required (dayjs is not bundled or included by default) * Built-in functionality, which means it's already available without requiring any extra setup * Potential performance benefits due to reduced overhead of using an external library Cons: * May have slower performance compared to dayjs due to the complexity of the built-in date formatting methods * Limited control over formatting options (as the `toLocaleDateString` method is designed for general use cases, not specifically Japanese locale) ### dayjs Approach Pros: * Fast and efficient performance, optimized for date formatting tasks * Provides more control over formatting options, including specific locales (in this case, Japanese) * Supports additional features beyond basic date formatting (e.g., parsing dates, calculating time differences) Cons: * Requires an external library dependency (dayjs), which may add overhead or complexity * May require additional setup and configuration for certain use cases **Library: dayjs** Dayjs is a lightweight JavaScript date manipulation library that provides a simple and efficient way to format dates. It's designed to be fast, flexible, and easy to use. In the context of this benchmark, dayjs is used to format a date string in Japanese locale using its `format` method. **Special JS feature/Syntax** The benchmark uses the following special JavaScript feature: * Template literals (`(new Date()).toLocaleDateString('ja-JP', {year:'numeric', month:'2-digit', day:'2-digit'}).replaceAll('/', '')`): This is a shorthand way to create a template literal string by concatenating an expression with other values. **Other alternatives** If you were to consider alternative approaches, some options might include: * Using the Intl.DateTimeFormat API (a more modern and standardized approach for date formatting) instead of `toLocaleDateString` * Implementing custom date formatting logic using JavaScript functions or regular expressions * Utilizing a different library like moment.js (another popular JavaScript date manipulation library) However, these alternatives may introduce additional complexity, overhead, or dependencies, so it's essential to carefully evaluate their trade-offs before selecting an approach.
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