Benchmark: Length vs Lodash Size

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var arr = new Array(10).fill("");

Tests:

Length
arr.length
Lodash Size
_.size(arr);

Historical Performance Data aggregated from 6 community runs

Desktop Results:

Chrome 6 runs

Length

59.0M/s

Lodash Size

10.0M/s

Fastest: Length (5.9x faster)

View exact numbers

✓ Length: 58,951,360 ops/sec
• Lodash Size: 9,992,633 ops/sec

Results show median performance across all community submissions. Run this benchmark yourself to verify on your device.

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Length
Lodash Size

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36 Edg/133.0.0.0

Browser/OS: Chrome 133 on Windows

View result in a separate tab

Length

216.3M/s

Lodash Size

91.4M/s

View exact numbers

Test name	Executions per second
✓ Length	216,345,680 Ops/sec
Lodash Size	91,353,080 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the explanation of the benchmark.

**What is being tested?**

The provided JSON represents a JavaScript microbenchmark on measuring the size of an array (`arr.length`) and using the Lodash library to calculate its size (`_.size(arr)`). The test aims to compare the performance and efficiency of accessing the length property directly (using `arr.length`) versus using the Lodash library's `size()` function.

**Options being compared**

There are two options being compared:

1. **Direct array length access**: Using `arr.length` to get the size of the array.
2. **Lodash library's size() function**: Using `_ = require('lodash');` and then calling `_.size(arr)` to calculate the size of the array.

**Pros and Cons**

* **Direct array length access**:
	+ Pros: Simple, straightforward, and widely supported by most browsers and engines.
	+ Cons: May not account for edge cases or array types that don't support length properties (e.g., `NaN` or non-numeric values).
* **Lodash library's size() function**:
	+ Pros: Provides a more comprehensive and robust way to calculate array sizes, handling various edge cases and supporting different data structures.
	+ Cons: Adds an external dependency (the Lodash library), which may introduce performance overhead due to its initialization process.

**Other considerations**

* The test uses `var arr = new Array(10).fill('');` as the preparation code for creating a large array. This is likely done to ensure consistent results across different browsers and engines.
* The HTML includes an external script tag referencing Lodash version 4.17.5, which may affect the execution environment.

**Library usage**

The test uses the Lodash library to provide the `_.size()` function for calculating array sizes. Lodash is a popular utility library that provides various functions for working with data structures, including arrays, objects, and more. In this context, `_ = require('lodash');` imports the library and assigns it to an alias (`_`). The `_.size(arr)` call then uses this function to calculate the size of the array.

**Special JS feature or syntax**

There are no notable mentions of special JavaScript features or syntax in the provided benchmark. However, if we were to extend our analysis:

* The use of ES6+ syntax (e.g., `let`, `const`, arrow functions) is not explicitly mentioned, but it's likely that this benchmark was created using modern JavaScript.
* There's no specific reference to any experimental or proposed features in the latest ECMAScript standards.

**Alternatives**

If you're interested in alternative approaches for measuring array sizes, consider:

1. Using `Array.prototype.length` (the standard way to access an array's length).
2. Implementing your own custom function for calculating array sizes.
3. Utilizing other libraries or frameworks that provide more comprehensive data structure utilities.

Keep in mind that the choice of approach ultimately depends on your specific use case, performance requirements, and personal preferences.

Length vs Lodash Size (version: 0)

Comparing performance of: `Length vs Lodash Size`

Created: 6 years ago by: Guest

Go to the latest result

Length

Lodash Size

Historical Performance Data aggregated from 6 community runs

Desktop Results:

Chrome 6 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Length vs Lodash Size (version: 0)

Comparing performance of: Length vs Lodash Size

Created: 6 years ago by: Guest

Go to the latest result

Length

Lodash Size

Historical Performance Data aggregated from 6 community runs

Desktop Results:

Chrome 6 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

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Comparing performance of: `Length vs Lodash Size`