Benchmark: Ramda Lens vs Patchinko vs Object spread

HTML Preparation code:

<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>
<script src=//unpkg.com/patchinko@4.1.0/immutable.js></script>

Script Preparation code:

// Initial state
var state = {
  visible: false,
  lazy: { test: true, number: 44 },
  count: 1
}

// Define reducers ahead of time

var spread = state => ({
  ...state,
  lazy: {
    ...state.lazy,
    test: !state.lazy.test
  }
})

var patchinko = state =>
  O(state, {
    lazy: O({
      test: O(test => !test),
    }),
  })

var lens = R.lensPath(["lazy", "test"])
var ramda = state => {
  return R.over(lens, test => !test, state)
}

Tests:

Object spread
var data = spread(state)
Patchinko
var data = patchinko(state)
Ramda Lens
var data = ramda(state)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Object spread
Patchinko
Ramda Lens

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.

The provided JSON represents a JavaScript benchmark test case for comparing the performance of three different approaches: Object spread, Patchinko, and Ramda Lens.

**Overview**

The test case is designed to measure the execution time of each approach when applied to an initial state object. The initial state object contains two properties: `visible` and `lazy`, where `lazy` has another property called `test`.

**Options Compared**

The three options being compared are:

1. **Object Spread**: This method uses the spread operator (`...`) to create a new object that copies all the properties from the original object, and then updates the `test` property of the `lazy` object.
2. **Patchinko**: This method is part of the Immutable.js library and uses a functional programming approach to create a new object by patching the original object with a new value. It achieves this by using a higher-order function that takes the original object as an argument and returns a new object with the updated `test` property.
3. **Ramda Lens**: This method is part of the Ramda library and uses a concept called "lenses" to create a new object by updating a specific property. It achieves this by using a lens function that takes the original object as an argument and returns a new object with the updated `test` property.

**Pros and Cons**

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

1. **Object Spread**:
	* Pros: Simple, widely supported, and easy to understand.
	* Cons: May not be as efficient as other approaches for large objects or complex updates.
2. **Patchinko**:
	* Pros: Efficiently updates large objects by patching individual properties.
	* Cons: Requires the use of Immutable.js library, which may add extra dependencies.
3. **Ramda Lens**:
	* Pros: Provides a concise and expressive way to update specific properties in an object.
	* Cons: May have higher overhead due to the use of lenses.

**Library Descriptions**

1. **Immutable.js (Patchinko)**: Immutable.js is a library that provides immutable data structures, which are collections of objects that cannot be modified directly. Patchinko is a part of this library and provides a functional programming approach to updating objects.
2. **Ramda**: Ramda is a comprehensive functional programming library for JavaScript, providing a wide range of utility functions and data processing tools.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntax used in this benchmark test case.

**Other Alternatives**

If you're looking for alternative approaches to updating objects, some other options include:

1. **ES6 Object Assign**: This method uses the `Object.assign()` function to create a new object by copying all properties from an original object.
2. **Lodash**: Lodash is a utility library that provides a wide range of functions for working with objects, including functions for updating and manipulating objects.

Note that these alternatives may have different performance characteristics or trade-offs compared to the options being tested in this benchmark.

Related benchmarks:

Ramda Lens vs Patchinko vs Object spread (version: 0)

Comparing performance of: Object spread vs Patchinko vs Ramda Lens

Created: 7 years ago by: Guest

Jump to the latest result

Object spread

Patchinko

Ramda Lens

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):