Benchmark: lodash flow 4.17.5 vs ramda pipe 0.27.1

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/ramda/0.27.1/ramda.min.js'></script>
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30];
var isOdd = n => n % 2 === 1;

Tests:

ramda
R.pipe(R.map(R.inc), R.filter(isOdd), R.take(5), R.last);
lodash
_.flow(_.map(x => x + 1), _.filter(isOdd), _.take(5), _.last);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
ramda
lodash

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.

I'd be happy to help explain the benchmark.

**What is being tested?**

MeasureThat.net is testing two different functional programming libraries: Ramda and Lodash. Both libraries provide a way to compose functions together to create new functions with specific behavior.

In this benchmark, we have two individual test cases:

1. **Ramda**: The first test case uses the `R.pipe` function from Ramda to create a pipeline of three operations:
	* `R.map(R.inc)` increments each number by 1.
	* `R.filter(isOdd)` filters out even numbers using a custom predicate `isOdd`.
	* `R.take(5)` takes the first 5 elements of the resulting array.
	* `R.last` returns the last element of the resulting array.

The goal is to measure how efficient each library is at performing this specific pipeline of operations.

2. **Lodash**: The second test case uses the `_.flow` function from Lodash to create a similar pipeline:
	* `_._map(x => x + 1)` increments each number by 1.
	* `_._filter(isOdd)` filters out even numbers using a custom predicate `isOdd`.
	* `_._take(5)` takes the first 5 elements of the resulting array.
	* `_._last` returns the last element of the resulting array.

**Comparison of options**

In this benchmark, we're only comparing two specific approaches:

1. **Ramda**: Uses `R.pipe` to compose functions together.
2. **Lodash**: Uses `_.flow` to compose functions together.

Both libraries provide a way to compose functions together, but they use different syntax and structure. Here are some pros and cons of each approach:

**Ramda:**

Pros:

* More functional programming style, which can lead to more concise and expressive code.
* Easier to chain multiple operations together using `R.pipe`.

Cons:

* Can be less intuitive for developers who aren't familiar with functional programming.

**Lodash:**

Pros:

* More conventional syntax, making it easier for developers to understand and use.
* Provides a broader set of utility functions that can be used in conjunction with `_.flow`.

Cons:

* Requires more boilerplate code when chaining operations together using `_.flow`.

**Library usage**

In the provided benchmark, we see that both libraries are being used as part of a pipeline of operations. This suggests that both libraries are designed to work well with functional programming concepts.

**Special JS features or syntax**

Neither library uses any special JavaScript features or syntax in this benchmark. The test cases only use standard JavaScript functions and variables.

**Other alternatives**

If you're looking for alternative functional programming libraries in JavaScript, some popular options include:

1. **Mocha**: A more lightweight alternative to Ramda.
2. **Curry**: A library that allows you to create curried functions, which can be useful when working with function composition.
3. **Esprima**: A library that provides an API for working with abstract syntax trees (ASTs), which can be useful when building more complex functional programming libraries.

I hope this helps clarify what's being tested in the benchmark!

Related benchmarks:

lodash flow 4.17.5 vs ramda pipe 0.27.1 (version: 0)

Comparing performance of: ramda vs lodash

Created: 4 years ago by: Guest

Jump to the latest result

ramda

lodash

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):