Benchmark: Lodash Lazy Evaluation vs ES6 Strict Evaluation

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js"></script>

Tests:

ES6 - Strict
const testArray = [4, 15, 20, 7, 3, 13, 2, 20] const result1 = testArray .filter(num => num < 10) .slice(0, 3) console.log(result1); const arr = [0, 1, 2, 3, 4, 5] const result2 = arr .map(num => num + 10) .filter(num => num % 2) .slice(0, 2) console.log(result2)
Lodash - Lazy
const testArray = [4, 15, 20, 7, 3, 13, 2, 20] const result1 = _.chain(testArray) .filter(num => num < 10) .take(3) .value(); console.log(result1); const arr = [0, 1, 2, 3, 4, 5] const result2 = _.chain(arr) .map(num => num + 10) .filter(num => num % 2) .take(2) .value() console.log(result2)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
ES6 - Strict
Lodash - Lazy

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36

Browser/OS: Chrome 130 on Mac OS X 10.15.7

View result in a separate tab

ES6 - Strict

82K/s

Lodash - Lazy

74K/s

View exact numbers

Test name	Executions per second
✓ ES6 - Strict	81,977 Ops/sec
Lodash - Lazy	73,854 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested.

**Overview**

The benchmark compares the performance of two approaches: ES6 strict evaluation and Lodash lazy evaluation. The test cases are written in JavaScript and use functions like `filter`, `map`, and `slice` to process arrays.

**Options compared**

There are two options being compared:

1. **ES6 strict evaluation**: This approach uses native JavaScript functions like `filter`, `map`, and `slice` without using any external libraries.
2. **Lodash lazy evaluation**: This approach uses the Lodash library, a popular utility library for functional programming in JavaScript.

**Pros and Cons of each approach**

**ES6 strict evaluation:**

Pros:

* Native performance: ES6 functions are optimized for performance and can take advantage of hardware acceleration.
* Simple to implement: No external dependencies or additional syntax required.

Cons:

* Limited functionality: Some built-in functions may not be suitable for complex data processing tasks.
* Potential overhead from function calls: Creating multiple function calls can lead to slower execution.

**Lodash lazy evaluation:**

Pros:

* Comprehensive set of utility functions: Lodash provides a wide range of functions for common data processing tasks, making it easier to write efficient code.
* Lazy loading: Some Lodash functions use lazy loading, which means they only execute when the result is needed. This can reduce overhead and improve performance.

Cons:

* Additional dependencies: Using an external library introduces additional overhead due to HTTP requests and loading times.
* Steeper learning curve: New developers may need time to familiarize themselves with Lodash syntax and functions.

**Library - Lodash**

Lodash is a popular utility library for functional programming in JavaScript. It provides a comprehensive set of functions for common data processing tasks, such as:

* Array manipulation (e.g., `filter`, `map`, `slice`)
* String manipulation (e.g., `lowercase`, `upperCase`, `escape`)
* Object manipulation (e.g., `pick`, `omit`, `cloneDeep`)
* Functional programming helpers (e.g., `mapAsync`, `forEachArray`)

Lodash is widely used in the industry and can simplify complex data processing tasks, making it easier to write efficient code.

**Special JS feature - None**

There are no special JavaScript features or syntax being tested in this benchmark. The focus is on comparing the performance of two approaches: ES6 strict evaluation and Lodash lazy evaluation.

**Other alternatives**

If you're interested in exploring alternative approaches, here are a few options:

* **Underscore.js**: Another popular utility library for functional programming in JavaScript.
* **Ramda**: A higher-order function library that provides a more concise and expressive way of writing data processing functions.
* **Native array methods**: Some modern browsers support native array methods like `filter()`, `map()`, and `slice()` without the need for external libraries.

Keep in mind that these alternatives may have their own pros and cons, depending on your specific use case and requirements.

Lodash Lazy Evaluation vs ES6 Strict Evaluation (version: 1) Benchmark.js

Lodash Lazy Evaluation vs ES6 Strict Evaluation

Comparing performance of: `ES6 - Strict vs Lodash - Lazy`

Created: 3 years ago by: Registered User

Go to the latest result

ES6 - Strict

Lodash - Lazy

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Lodash Lazy Evaluation vs ES6 Strict Evaluation (version: 1) Benchmark.js

Lodash Lazy Evaluation vs ES6 Strict Evaluation

Comparing performance of: ES6 - Strict vs Lodash - Lazy

Created: 3 years ago by: Registered User

Go to the latest result

ES6 - Strict

Lodash - Lazy

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Related benchmarks

Comparing performance of: `ES6 - Strict vs Lodash - Lazy`