Benchmark: lodash array sizes

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

AخA
 
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

var max1 = 100000; // 100,000 (100 Thousand)
var max2 = 10000000; // 10,000,000 (10 Million)
var max3 = 100000000; // 100,000,000 (100 Million)

var arr1 = [];
//for (var i = 0; i <= max1; i++) { arr1.push(i); }

var arr2 = [];
for (var i = 0; i <= max2; i++) { arr2.push(i); }

var arr3 = [];
//for (var i = 0; i <= max3; i++) { arr3.push(i); }

​x
 
var max1 = 100000; // 100,000 (100 Thousand)var max2 = 10000000; // 10,000,000 (10 Million)var max3 = 100000000; // 100,000,000 (100 Million)​var arr1 = [];//for (var i = 0; i <= max1; i++) { arr1.push(i); }​var arr2 = [];for (var i = 0; i <= max2; i++) { arr2.push(i); }​var arr3 = [];//for (var i = 0; i <= max3; i++) { arr3.push(i); }

Tests:

Native

for (let i = 0; i < 10000; ++i)
	console.log(arr2.length)

 
for (let i = 0; i < 10000; ++i)    console.log(arr2.length)

Lodash

for (let i = 0; i < 10000; ++i)
	console.log(_.size(arr2))

 
for (let i = 0; i < 10000; ++i)    console.log(_.size(arr2))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

Test case name	Result
Native
Lodash

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:99.0) Gecko/20100101 Firefox/99.0

Browser/OS: Firefox 99 on Ubuntu

View result in a separate tab

Test name	Executions per second
Native	4.1 Ops/sec
Lodash	4.3 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 7 months ago):

Let's break down the provided benchmark and its options.

Benchmark Definition

The test case measures the performance of two approaches: native JavaScript and Lodash (a popular utility library for JavaScript).

Native: The "Native" approach uses only built-in JavaScript features, without relying on any external libraries.
Lodash: The "Lodash" approach uses the Lodash library to perform the same operation as the Native approach.

Script Preparation Code

The script preparation code initializes three arrays:

arr1: An empty array filled with values from 0 to max1 (100,000).
arr2: Another empty array filled with values from 0 to max2 (10,000,000).
arr3: A third empty array filled with values from 0 to max3 (100,000,000).

The script preparation code is identical for both approaches.

Html Preparation Code

The HTML preparation code includes a reference to the Lodash library, version 4.17.4, using a CDN link.

Options Compared

The benchmark compares two options:

Native: Uses built-in JavaScript features without any external libraries.
Lodash: Uses the Lodash library to perform the same operation as the Native approach.

Pros and Cons of Different Approaches

Native:
- Pros: No external dependencies, potentially faster execution since no overhead from a library is introduced.
- Cons: May be slower due to the complexity of JavaScript's built-in data structures and algorithms.
Lodash:
- Pros: Leverages optimized and tested algorithms in Lodash, which may result in better performance.
- Cons: Introduces an external dependency (the Lodash library), which might affect execution speed.

Library: Lodash

Lodash is a popular utility library for JavaScript that provides various functions for common tasks, such as:

Array manipulation (e.g., size, each)
String manipulation
Object manipulation

In this benchmark, Lodash is used to measure the performance of the _.size function on an array.

Special JS Feature or Syntax

There are no special JavaScript features or syntax mentioned in the provided code. The focus is on comparing two approaches: native JavaScript and Lodash.

Other Alternatives

If you wanted to add more alternatives, you could consider using other libraries like:

Underscore.js (a companion library to Lodash)
Moment.js (for date and time manipulation)
MapReduce.js (for parallel processing)

Keep in mind that each alternative would introduce additional dependencies and potentially affect the benchmark's accuracy.

I hope this explanation helps!

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and its options.

**Benchmark Definition**

The test case measures the performance of two approaches: native JavaScript and Lodash (a popular utility library for JavaScript).

1. **Native**: The "Native" approach uses only built-in JavaScript features, without relying on any external libraries.
2. **Lodash**: The "Lodash" approach uses the Lodash library to perform the same operation as the Native approach.

**Script Preparation Code**

The script preparation code initializes three arrays:

* `arr1`: An empty array filled with values from 0 to `max1` (100,000).
* `arr2`: Another empty array filled with values from 0 to `max2` (10,000,000).
* `arr3`: A third empty array filled with values from 0 to `max3` (100,000,000).

The script preparation code is identical for both approaches.

**Html Preparation Code**

The HTML preparation code includes a reference to the Lodash library, version 4.17.4, using a CDN link.

**Options Compared**

The benchmark compares two options:

1. **Native**: Uses built-in JavaScript features without any external libraries.
2. **Lodash**: Uses the Lodash library to perform the same operation as the Native approach.

**Pros and Cons of Different Approaches**

* **Native**:
	+ Pros: No external dependencies, potentially faster execution since no overhead from a library is introduced.
	+ Cons: May be slower due to the complexity of JavaScript's built-in data structures and algorithms.
* **Lodash**:
	+ Pros: Leverages optimized and tested algorithms in Lodash, which may result in better performance.
	+ Cons: Introduces an external dependency (the Lodash library), which might affect execution speed.

**Library: Lodash**

Lodash is a popular utility library for JavaScript that provides various functions for common tasks, such as:

* Array manipulation (e.g., `size`, `each`)
* String manipulation
* Object manipulation

In this benchmark, Lodash is used to measure the performance of the `_.size` function on an array.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntax mentioned in the provided code. The focus is on comparing two approaches: native JavaScript and Lodash.

**Other Alternatives**

If you wanted to add more alternatives, you could consider using other libraries like:

* Underscore.js (a companion library to Lodash)
* Moment.js (for date and time manipulation)
* MapReduce.js (for parallel processing)

Keep in mind that each alternative would introduce additional dependencies and potentially affect the benchmark's accuracy.

I hope this explanation helps!

Related benchmarks:

lodash array sizes (version: 0)

Comparing performance of: Native vs Lodash

Created: 3 years ago by: Guest

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