Benchmark: Object.keys vs ramda keys

HTML Preparation code:

<script src="//cdn.jsdelivr.net/npm/ramda@latest/dist/ramda.min.js"></script>

Script Preparation code:

var obj = {
  'a': 1,
  'b': 1,
  'c': 1,
  'd': 1,
  'e': 1,
  'f': 1,
  'g': 1
};

Tests:

Object.keys
var oresult = Object.keys(obj); console.log(oresult);
ramda keys
var rresult = R.keys(obj); console.log(rresult);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Object.keys
ramda keys

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 10 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36

Browser/OS: Chrome 138 on Windows

View result in a separate tab

Test name	Executions per second
Object.keys	298364.8 Ops/sec
ramda keys	290355.2 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 provided benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark compares two approaches to retrieve the keys of an object: `Object.keys()` ( native JavaScript function) vs `R.keys()` (a function from the Ramda library). The goal is to measure which approach is faster.

**Options Compared**

Two options are compared:

1. **`Object.keys()`**: This is a native JavaScript function that returns an array of strings representing the property names of an object.
2. **`R.keys()`**: This is a function from the Ramda library, which provides functional programming utilities. In this case, `R.keys()` is used to retrieve the keys of an object.

**Pros and Cons**

Here's a brief summary of each approach:

* **`Object.keys()`**:
	+ Pros: Native JavaScript function, widely supported by most browsers and Node.js environments.
	+ Cons: May not be optimized for performance, may have varying behavior across different browsers and versions.
* **`R.keys()`**:
	+ Pros: Part of the Ramda library, which provides a consistent and efficient implementation. This approach is often used in functional programming scenarios.
	+ Cons: Requires loading an additional library (Ramda), may not be supported by older or less capable environments.

**Other Considerations**

* **Library Usage**: The benchmark uses Ramda's `R.keys()` function, which requires the user to include the Ramda library in their HTML file. This adds a layer of complexity and potential performance impact due to additional JavaScript overhead.
* **Special JS Features/Syntax**: Neither approach requires any special JavaScript features or syntax beyond basic object literals.

**Alternatives**

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

1. **Using `for...in` loop**: Instead of using `Object.keys()`, you could use a `for...in` loop to iterate over the object's properties.
2. **Using `Array.prototype.slice()`**: You could also use `Array.prototype.slice()` to create a copy of the object's keys array.

Here's an example implementation:
```javascript
var obj = {
  'a': 1,
  'b': 1,
  'c': 1,
  'd': 1,
  'e': 1,
  'f': 1,
  'g': 1
};

for (var i = 0; i < obj.length; i++) {
  console.log(obj[i]);
}
```
Keep in mind that this approach may not be as efficient or elegant as using `Object.keys()` or `R.keys()`, but it's an alternative to consider.

Overall, the benchmark provides a good starting point for understanding the performance differences between native JavaScript functions and external libraries.

Related benchmarks:

Object.keys vs ramda keys (version: 0)

what the name says

Comparing performance of: Object.keys vs ramda keys

Created: 5 years ago by: Guest

Jump to the latest result

Object.keys

ramda keys

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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