Benchmark: lodash vs manual

HTML Preparation code:

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

Script Preparation code:

const arraySize = 500000;
window.array = _.range(arraySize).map(() => {value: Math.random()});

function manualMethod1(array) {
  let total = 0;
  for (const key in array) {
    total += array[key]
  }
  return total;
}

Tests:

lodash
return _.sumBy( _.keys(window.array), (key) => window.array[key] )
manual
return manualMethod1(window.array)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash
manual

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the provided benchmark definition and test cases.

**Benchmark Definition**

The benchmark compares two approaches:

1. **`_.sumBy()`**: This is a method from the Lodash library, which calculates the sum of all values in an array while skipping null or undefined elements. In this case, it sums up all the random values generated in the `window.array`.
2. **Manual implementation (`manualMethod1()`)**: This is a custom function that manually iterates through each key-value pair in the `window.array` and adds up the values.

**Options Compared**

The two approaches are compared in terms of:

* Performance: How many executions per second do each approach handle?
* Efficiency: Does one approach use more memory or processing power than the other?

**Pros and Cons of Each Approach**

1. **`.sumBy()` (Lodash)**:
	* Pros:
		+ More concise and readable code
		+ Less prone to errors due to Lodash's built-in checks for null/undefined values
	* Cons:
		+ Requires the Lodash library, which may not be included in every project or environment
		+ May have a slight performance overhead due to the additional function call
2. **Manual implementation (`manualMethod1()`)**:
	* Pros:
		+ No external dependencies (no extra libraries needed)
		+ Can be more optimized for specific use cases or environments
	* Cons:
		+ More verbose and error-prone code
		+ May require additional checks for null/undefined values

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for various tasks, such as array manipulation, string processing, and object transformation. In this benchmark, Lodash's `sumBy()` function is used to calculate the sum of all values in the `window.array`.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntax used in this benchmark.

**Other Alternatives**

If you prefer not to use the Lodash library, other alternatives for calculating the sum of an array could be:

* Using `Array.prototype.reduce()` method: `_.sumBy` equivalent
* Using a simple loop and accumulator variable (like `manualMethod1()`)
* Using `Array.prototype.forEach()` with a callback function

Keep in mind that each alternative has its pros and cons, and the best choice depends on your specific use case and requirements.

Related benchmarks:

lodash vs manual (version: 0)

Comparing performance of: lodash vs manual

Created: 3 years ago by: Guest

Jump to the latest result

lodash

manual

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):