Benchmark: Array vs ramda vs ramda-transducer vs Array-non-chain

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.27.1/ramda.min.js" integrity="sha512-rZHvUXcc1zWKsxm7rJ8lVQuIr1oOmm7cShlvpV0gWf0RvbcJN6x96al/Rp2L2BI4a4ZkT2/YfVe/8YvB2UHzQw==" crossorigin="anonymous"></script>

Script Preparation code:

var source = Array(1000).fill(1).map((_, i) => Math.random());

Tests:

Array
const arrayResult = source .map(n => n * 2) .filter(n => n > 0.5) .map(n => n / 2);
Ramda
const rResult = R.compose( R.map(n => n * 2), R.filter(n => n > 0.5), R.map(n => n / 2) )(source);
Ramda Transducer
const transducer = R.compose( R.map(n => n * 2), R.filter(n => n > 0.5), R.map(n => n / 2), ); const rtResult = R.transduce(transducer, R.flip(R.append), [], source);
Array non chain
const res1 = source.map(n => n * 2); const res2 = res1.filter(n => n > 0.5); const res3 = res2.map(n => n / 2);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array
Ramda
Ramda Transducer
Array non chain

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):

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Let's break down the provided benchmark and explain what is being tested, along with the pros and cons of each approach.

**Benchmark Overview**

The benchmark compares the performance of four different approaches to perform a series of operations on an array of numbers:

1. Vanilla JavaScript Array
2. Ramda (a functional programming library for JavaScript)
3. Ramda Transducer (a variant of Ramda that uses a transducer pipeline)
4. Array non-chain (a sequential approach using multiple assignments)

**Benchmark Preparation Code**

The preparation code generates an array of 1000 random numbers and assigns it to the `source` variable.

**Individual Test Cases**

Each test case defines a specific set of operations to perform on the `source` array:

1. **Array**: Uses the `.map()`, `.filter()`, and `.map()` methods in sequence.
2. **Ramda**: Uses Ramda's functional programming API, including `R.compose()` and `R.map()`.
3. **Ramda Transducer**: Uses a transducer pipeline defined by `R.compose()` and `R.transduce()`.
4. **Array non-chain**: Uses multiple assignments to perform the operations in sequence.

**Options Compared**

The four options are compared based on their execution speed, measured in executions per second (ExecutionsPerSecond).

**Pros and Cons of Each Approach**

1. **Vanilla JavaScript Array**:
	* Pros: Simple, familiar API, no dependencies.
	* Cons: Can be slower due to the overhead of method calls and chaining.
2. **Ramda**:
	* Pros: Provides a functional programming API with concise syntax, can reduce code duplication.
	* Cons: Requires an additional library dependency, may have overhead due to function calls.
3. **Ramda Transducer**:
	* Pros: Optimized for performance, uses a pipeline approach that can lead to better cache locality.
	* Cons: May be less familiar to developers without prior experience with transducers or functional programming.
4. **Array non-chain**:
	* Pros: Can be easier to understand and maintain for developers without extensive JavaScript knowledge.
	* Cons: May be slower due to the overhead of multiple assignments, can lead to performance issues if not optimized correctly.

**Library Usage**

The benchmark uses Ramda version 0.27.1 and its transducer pipeline. Ramda is a popular functional programming library for JavaScript that provides a concise API for common data processing tasks.

**Special JS Features/Syntax**

None of the test cases use special JavaScript features or syntax, making them accessible to developers with varying levels of expertise.

**Alternatives**

Other alternatives for performing array operations in JavaScript include:

* Lodash (a utility library that extends Ramda)
* MapReduce (a parallel processing approach)
* WebAssembly (a low-level, compiled language for the web)

These alternatives may offer different trade-offs between performance, code complexity, and maintainability.

Related benchmarks:

Array vs ramda vs ramda-transducer vs Array-non-chain (version: 0)

Comparing performance of: Array vs Ramda vs Ramda Transducer vs Array non chain

Created: 5 years ago by: Guest

Jump to the latest result

Array

Ramda

Ramda Transducer

Array non chain

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):