Benchmark: R vs _ uniq - MeasureThat.net

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.4/lodash.js"></script>

Script Preparation code:

  var data = [..._.range(1000).map(function(i) {
    return {
      counter: i
    }
  }),..._.range(1000).map(function(i) {
    return {
      counter: i
    }
  })];

Tests:

Lodash
var result = _.uniq(data);
Ramda
var result = R.uniq(data);
Set
function* unique(xs) { const seen = new Set(); for (const x of xs) { if (seen.has(x)) continue; seen.add(x); yield x; } } var result = [...unique(data)];

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Ramda
Set

Fastest: N/A

Slowest: N/A

Latest run results:

No previous 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 dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Definition JSON**

The benchmark definition JSON represents three test cases that compare different approaches to finding unique values in an array. Here's what's being tested:

1. **Lodash**: The `_.uniq` function from the Lodash library is used to find unique values in the input array.
2. **Ramda**: The `R.uniq` function from the Ramda library is used to achieve the same result as Lodash.
3. **Set**: A custom implementation using a `Set` data structure is also tested. This approach uses a generator function to yield unique values.

**Options Compared**

The three test cases compare different approaches to finding unique values in an array:

* **Lodash and Ramda**: These two libraries provide efficient implementations of the `uniq` function, which are similar in terms of performance.
* **Set**: The custom implementation using a `Set` data structure is expected to be slower than Lodash and Ramda due to its overhead.

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

* **Lodash and Ramda**:
	+ Pros: Efficient, well-tested libraries with good performance.
	+ Cons: Requires importing additional libraries (Lodash/Ramda).
* **Set**:
	+ Pros: Native JavaScript implementation with minimal dependencies.
	+ Cons: Expected to be slower due to overhead of creating a `Set` instance.

**Library Descriptions**

1. **Lodash**: A popular utility library for JavaScript that provides a wide range of functions for tasks like array manipulation, string manipulation, and more.
2. **Ramda**: Another popular functional programming library for JavaScript that provides a set of higher-order functions for working with arrays, objects, and other data structures.

**Special JS Feature or Syntax**

The benchmark uses the `let` keyword to declare variables, which is a feature introduced in ECMAScript 2015 (ES6). This syntax is not specific to any particular library or implementation, but it's worth noting that older browsers may not support this feature.

**Alternative Implementations**

If you're interested in exploring alternative implementations for finding unique values in an array, here are some options:

1. **Built-in `Set`**: As mentioned earlier, a custom implementation using the built-in `Set` data structure is also tested.
2. **Using `Array.prototype.reduce()`**: You can use the `reduce()` method to find unique values in an array by accumulating a set of seen values and returning only those that haven't been seen before.
3. **Using `Array.prototype.filter()` and `Array.prototype.indexOf()`**: This approach involves using `filter()` to remove duplicate elements from the array, but it's expected to be slower than Lodash/Ramda due to its higher overhead.

Keep in mind that these alternative implementations may not offer better performance than the optimized libraries like Lodash and Ramda.

Related benchmarks:

R vs _ uniq (version: 0)

Comparing performance of: Lodash vs Ramda vs Set

Created: 6 years ago by: Guest

Jump to the latest result

Lodash

Ramda

Set

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):