Benchmark: Lodash sumBy vs simple reduce

HTML Preparation code:

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

Script Preparation code:

function getRandomInt(max) {
  return Math.floor(Math.random() * Math.floor(max));
}

var arr = [];
for(var i = 0; i < 100000; i++){
  arr.push({value:getRandomInt(100)});
}

Tests:

_.sumBy
_.sumBy(arr,"value");
reduce
arr.reduce((prev, next) => prev.value + next.value);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.sumBy
reduce

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

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

**Benchmark Purpose**

The benchmark measures the performance difference between two approaches to calculate the sum of values in an array:

1. Using `lodash.sumBy` (a library function) for JavaScript arrays.
2. Using the built-in `Array.prototype.reduce()` method without any libraries or additional functions.

**Options Compared**

Two options are compared:

A) Lodash's `sumBy` function
B) The built-in `reduce()` method

**Pros and Cons of Each Approach**

### Lodash's `sumBy`

**Pros:**

1. **Easy to use**: `sumBy` is a simple, concise, and well-documented function.
2. **Optimized for performance**: Lodash is a popular and widely-used library that has optimized its functions for performance.

**Cons:**

1. **Added dependency**: Using Lodash requires including an additional JavaScript file (lodash.min.js) in your code, which may not be desirable in some cases.
2. **Overhead of function call**: Although Lodash's `sumBy` is optimized, it still incurs a function call overhead.

### Built-in `reduce()`

**Pros:**

1. **No dependencies or overhead**: Using the built-in `reduce()` method doesn't require any additional libraries or functions.
2. **Familiar syntax**: Developers already familiar with JavaScript may find this approach more intuitive and easier to understand.

**Cons:**

1. **More verbose**: The code for using `reduce()` can be more verbose than Lodash's `sumBy`.
2. **Potential performance overhead**: Although the built-in `reduce()` method is optimized, it may still incur some overhead due to its native JavaScript implementation.

**Library and Purpose (Lodash)**

The Lodash library is a popular JavaScript utility library that provides a wide range of functions for common tasks, such as array manipulation, string manipulation, and more. The `sumBy` function in particular is designed to calculate the sum of values in an array based on a provided callback function.

**Special JS Feature or Syntax**

None are mentioned in this specific benchmark, but it's worth noting that some JavaScript features, like async/await or destructuring, may be used in other benchmarks.

Related benchmarks:

Lodash sumBy vs simple reduce (version: 0)

Comparing performance of: _.sumBy vs reduce

Created: 5 years ago by: Guest

Jump to the latest result

_.sumBy

reduce

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):