Benchmark: Lodash vs Ramda - MeasureThat.net

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/ramda@0/ramda.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/lodash@4/lodash.min.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 without relying on currying or composition
var result = R.uniq(data);
roll
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 without relying on currying or composition
roll

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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 benchmarks!

**Benchmark Context**

MeasureThat.net is a website where users can create and run JavaScript microbenchmarks. The benchmark in question compares the performance of Lodash and Ramda, two popular functional programming libraries for JavaScript.

**What's being tested?**

The test cases compare the execution speed of three different approaches:

1. **Lodash**: The `_.uniq` method is used to remove duplicates from an array.
2. **Ramda without currying or composition**: This approach uses a simple iterative method to remove duplicates from an array.
3. **roll** (a custom implementation): This approach uses a generator function to remove duplicates from an array.

The test data consists of two arrays of 1000 elements each, with duplicate values scattered throughout.

**Options comparison**

Here's a brief overview of the three approaches and their pros and cons:

1. **Lodash**: Lodash provides a concise and efficient implementation of `_.uniq`, which is optimized for performance. However, this comes at the cost of added dependencies (the library itself) and potential overhead due to its caching mechanisms.
	* Pros: High performance, concise code
	* Cons: Adds dependency, caching mechanism might introduce unnecessary overhead
2. **Ramda without currying or composition**: This approach is a stripped-down version of Ramda's `R.uniq` method. While it avoids the added dependencies and caching mechanism of Lodash, it may be slower due to its iterative nature.
	* Pros: Lightweight, no added dependencies
	* Cons: Slower than Lodash, more verbose code
3. **roll**: The custom implementation uses a generator function to remove duplicates from an array. This approach is likely to be the slowest of the three due to its iterative and manual implementation.
	* Pros: Customizable, educational example
	* Cons: Slowest performance, most verbose code

**Library considerations**

The test case uses two libraries:

1. **Lodash**: A popular functional programming library for JavaScript, providing a wide range of utilities and algorithms.
2. **Ramda**: Another popular functional programming library for JavaScript, providing a different set of utilities and algorithms.

Both libraries are well-maintained and widely used in the JavaScript ecosystem.

**Special JS feature or syntax**

There is no special JS feature or syntax mentioned in this benchmark. However, it's worth noting that some newer versions of Lodash and Ramda might have introduced new features or optimizations that could affect performance.

**Other alternatives**

For those interested in exploring alternative implementations or libraries for duplicate removal, here are a few options:

1. **Array.prototype.filter()**: A built-in method in JavaScript arrays that can be used to remove duplicates.
2. **Set**: A built-in data structure in JavaScript that can be used to efficiently store unique values.
3. **Custom implementation using `reduce()` and an object**: Another possible approach for removing duplicates from an array.

These alternatives might offer different trade-offs between performance, code readability, and maintainability, depending on the specific use case and requirements.

Related benchmarks:

Lodash vs Ramda (version: 0)

Comparing performance of: Lodash vs Ramda without relying on currying or composition vs roll

Created: 8 years ago by: Guest

Jump to the latest result

Lodash

Ramda without relying on currying or composition

roll

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):