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

Test name	Executions per second
ES6 - Strict	81976.7 Ops/sec
Lodash - Lazy	73853.8 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.

Related benchmarks:

Lodash Lazy Evaluation vs ES6 Strict Evaluation (version: 1)

Lodash Lazy Evaluation vs ES6 Strict Evaluation

Comparing performance of: ES6 - Strict vs Lodash - Lazy

Created: 2 years ago by: Registered User

Jump 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):