Benchmark: Moment time plus vs ad

HTML Preparation code:

<script src="https://cdn.rawgit.com/moment/moment/2.7.0/moment.js"></script>
<script src="https://cdn.rawgit.com/moment/moment-timezone/0.2.2/builds/moment-timezone-with-data.js"></script></script>

Script Preparation code:

var dateObject = new Date('2016-11-03T12:00:00Z');

Tests:

Moment
moment(moment()).isBefore(moment(dateObject).add(4, 'houres'))
date
const newDateObject = new Date(dateObject.getTime() + (4 * 60 *60))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Moment
date

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

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I'd be happy to explain the benchmark and its options.

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmark that tests two different approaches for adding hours to a date object: using the `moment.js` library (Moment) or creating a new `Date` object with a modified timestamp.

**Script Preparation Code**

The script preparation code includes two scripts:

1. The Moment library is included from a CDN link.
2. A custom script, `moment-timezone-with-data.js`, which provides timezone-related functionality for the Moment library.

**Benchmark Definition JSON**

The benchmark definition JSON contains two test cases:

1. **Moment**: This test case uses the Moment library to perform the following operations:
	* Create a new date object using `moment()` and store it in a variable.
	* Add 4 hours to the original date object using `add(4, 'hours')`.
	* Compare the resulting date with another date object created from the original date object using `moment(dateObject).add(4, 'hours')`. The comparison is done using the `isBefore()` method.
2. **date**: This test case creates a new `Date` object by adding 4 hours to the original timestamp using the following code: `const newDateObject = new Date(dateObject.getTime() + (4 * 60 * 60))`.

**Comparison Options**

The two options being compared are:

1. Using the Moment library (`moment.js`) for date arithmetic.
2. Creating a new `Date` object with a modified timestamp.

**Pros and Cons of Each Approach**

**Moment Library:**

Pros:

* Highly performant and optimized for date arithmetic.
* Provides additional timezone-related functionality out-of-the-box.

Cons:

* Adds an extra dependency ( Moment library) that needs to be included in the benchmark.
* May introduce additional overhead due to the size of the library.

**Date Object Approach:**

Pros:

* No extra dependencies required.
* Directly calculates the new timestamp without any intermediate steps.

Cons:

* Requires manual calculation of timestamps, which can lead to errors if not done correctly.
* May be less performant than using a dedicated date arithmetic library like Moment.

**Library and Purpose (Moment)**

The `moment.js` library is a popular JavaScript date manipulation library that provides a wide range of features for working with dates, including parsing, formatting, and arithmetic operations. The `moment-timezone-with-data.js` script is a specific build of the Moment library that includes timezone-related functionality.

**Special JS Feature/Syntax (None)**

There are no special JavaScript features or syntax used in this benchmark. It only relies on standard JavaScript constructs like `Date`, `moment()`, and arithmetic operations.

**Other Alternatives**

Other alternatives for date arithmetic libraries include:

* **Date-fns**: A lightweight, fast, and feature-rich date manipulation library.
* **Luxon**: A modern, high-performance date and time library that provides a wide range of features.

These libraries can be used as direct replacements for the Moment library in this benchmark.

Related benchmarks:

Moment time plus vs ad (version: 0)

Comparing performance of: Moment vs date

Created: 4 years ago by: Guest

Jump to the latest result

Moment

date

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):