Benchmark: Lodash vs Native reduce on lqrgeobject

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.4/lodash.min.js"></script>

Script Preparation code:

window.obj = {};

for (var i = 0, len = 1001; i < len; i++) {
  var arr = []
  obj['key' + i] = arr
  for (var n = 0, len = 1001; n < len; n++) {
    arr.push({ ['key' + n]: n });
  }
}

Tests:

Lodash
_.reduce(obj, (acc, val, key) => { acc[key] = val.map(d => ({ label: key, value: val })); return acc; }, {})
Native
Object.entries(obj).reduce((acc, [key, val]) => { acc[key] = val.map(d => ({ label: key, value: val })); return acc; }, {})

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Native

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 test cases.

**What is tested:**

The provided benchmark tests two approaches to transforming an object with nested arrays into an object with key-value pairs, where each value is an array of objects containing a label and a value.

**Options compared:**

Two options are compared:

1. **Lodash**: Using the `reduce` method from Lodash, a popular JavaScript utility library.
2. **Native**: Using native JavaScript methods (e.g., `Object.entries`, `Array.prototype.map`) to achieve the same transformation.

**Pros and Cons of each approach:**

* **Lodash**:
	+ Pros:
		- Easier to read and write, thanks to Lodash's concise syntax.
		- Reduces the cognitive load for developers familiar with functional programming concepts.
	+ Cons:
		- Introduces an external dependency (Lodash library).
		- May be slower due to the overhead of loading the library.
* **Native**:
	+ Pros:
		- No external dependencies, reducing potential overhead and increasing performance.
		- Utilizes native code, which can result in better performance and lower latency.
	+ Cons:
		- Requires more cognitive effort for developers unfamiliar with functional programming concepts.
		- May be less readable or maintainable due to the use of multiple methods.

**Library used:**

* Lodash is a popular JavaScript utility library that provides a lot of useful functions, including `reduce`.

**Special JS feature or syntax:**

There are no special features or syntax mentioned in the benchmark definition. However, it's worth noting that the use of arrow functions (`=>`) and template literals (`${}`) is common in modern JavaScript code.

**Other alternatives:**

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

1. **Manual iteration**: You could write a custom loop to iterate over the nested arrays and transform the object manually.
2. **Other libraries or frameworks**: Depending on your project's requirements, you might consider using other JavaScript libraries or frameworks that provide similar functionality (e.g., Ramda, jQuery).
3. **Reactive programming approaches**: If you're comfortable with reactive programming concepts (e.g., observables, RxJS), you could explore approaches like reactive transforms to solve this problem.

Keep in mind that the performance and readability implications of these alternative approaches will vary depending on your specific use case and requirements.

Related benchmarks:

Lodash vs Native reduce on lqrgeobject (version: 0)

Comparing performance of: Lodash vs Native

Created: 5 years ago by: Guest

Jump to the latest result

Lodash

Native

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):