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benchmark-x
(version: 0)
Comparing performance of:
datefns vs luxon vs moment vs dayjs vs native
Created:
4 years ago
by:
Registered User
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HTML Preparation code:
<script type="module"> import dayjs from "https://cdn.skypack.dev/dayjs@1.10.7" import * as luxon from "https://cdn.skypack.dev/luxon@2.3.0" import * as dateFns from "https://cdn.skypack.dev/date-fns@v2.28.0" import moment from "https://cdn.skypack.dev/moment@2.29.1" window.dayjs = dayjs window.dateFns = dateFns window.moment = moment window.luxon = luxon </script>
Script Preparation code:
window.ds = "2022-01-12T00:51:53.623839+00:00";
Tests:
datefns
dateFns.add(new Date(ds), { days: 5 }).toISOString()
luxon
luxon.DateTime.fromISO(ds).plus({ days: 5 }).toISO()
moment
moment(ds).add(5, 'days').toISOString()
dayjs
dayjs(ds).add(5, "day").toISOString()
native
((dt) => dt.setDate(dt.getDate() + 5) && dt.toISOString())(new Date(ds))
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (5)
Previous results
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Test case name
Result
datefns
luxon
moment
dayjs
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):
The provided JSON represents a JavaScript microbenchmarking test case created on the MeasureThat.net website. **Benchmark Purpose:** This benchmark compares the performance of different date and time manipulation libraries in JavaScript, namely: 1. `luxon` 2. `date-fns` 3. `moment` 4. A native JavaScript implementation The primary goal is to measure the execution speed and throughput of each library when performing simple date arithmetic operations. **Library Options:** Each test case uses a specific library to perform the same operation, which is adding 5 days to a given date (`ds`). The libraries used are: 1. `luxon`: A modern JavaScript library for working with dates and times. 2. `date-fns`: A utility-first library for working with dates in JavaScript. 3. `moment`: A popular JavaScript library for manipulating dates and times. 4. Native JavaScript implementation: A simple, built-in function to perform date arithmetic. **Pros and Cons of Each Approach:** 1. **luxon**: Pros: * Modern architecture with a focus on simplicity and readability. * Supports various date formats and time zones. * Performance is generally good due to its optimized algorithms. Cons: * May have a steeper learning curve for those unfamiliar with the library. 2. `date-fns`: Pros: * High level of customization and flexibility. * Well-documented and widely adopted in the community. * Supports various date formats and time zones. Cons: * Can be slower than optimized native JavaScript implementations due to its utility-first approach. 3. `moment`: Pros: * Wide adoption and a large community of developers who contribute to it. * Easy to learn and use, especially for those familiar with the library. Cons: * Has been criticized for being slow and memory-intensive compared to other libraries. 4. **Native JavaScript implementation**: Pros: * Optimized for performance due to being built-in code. * Fast execution speed and low memory usage. Cons: * Less flexible than third-party libraries, requiring manual date manipulation. **Considerations:** The benchmark focuses on simple date arithmetic operations, which might not accurately represent real-world use cases. More complex scenarios or edge cases may require additional optimizations or trade-offs in library choice. Additionally, the performance differences between these libraries can vary depending on specific requirements and constraints of the project. **Other Alternatives:** There are other JavaScript libraries for date and time manipulation, such as: 1. `day.js` (not explicitly mentioned in the benchmark) 2. `js-joda` 3. `core-js`: Includes a set of polyfills for various modern JavaScript features, including date manipulation. 4. **V8's built-in Date implementation**: Some developers might be interested in exploring V8's built-in date handling, although this is less common due to its potential lack of customization and flexibility. These alternatives may offer different trade-offs between performance, ease of use, and feature sets, depending on the specific requirements of the project.
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