Benchmark: find by id and replace in array [lodash vs js vs ramda]

HTML Preparation code:

<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/lodash-fp/0.10.4/lodash-fp.min.js"></script>

Script Preparation code:

var arr = [{id: 1, name: "Person 1"}, {id: 2, name: "Person 2"}];

Tests:

lodash map
var newArr = _.map(arr, function(a) { return a.id === 1 ? {id: 1, name: "Person New Name"} : a; });
es6 map
// ES6 var newArr = arr.map(function(a) { return a.id === 1 ? {id: 1, name: "Person New Name"} : a; });
lodash findIndex and splice
var index = _.findIndex(arr, {id: 1}); // Replace item at index using native splice arr.splice(index, 1, {id: 100, name: 'Person New Name'});
ramda findIndex and splice
const index = R.findIndex(R.propEq('id', 1))(arr) arr.splice(index, 1, {id: 100, name: 'Person New Name'});
ramda map
var newArr = R.map(function(a) { return a.id === 1 ? {id: 1, name: "Person New Name"} : a; })(arr);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash map
es6 map
lodash findIndex and splice
ramda findIndex and splice
ramda map

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:137.0) Gecko/20100101 Firefox/137.0

Browser/OS: Firefox 137 on Windows

View result in a separate tab

es6 map

42.9M/s

ramda map

9.1M/s

lodash findIndex and splice

5.9M/s

ramda findIndex and splice

2.1M/s

lodash map

800K/s

View exact numbers

Test name	Executions per second
✓ es6 map	42,949,436 Ops/sec
ramda map	9,059,769 Ops/sec
lodash findIndex and splice	5,924,058 Ops/sec
ramda findIndex and splice	2,106,770 Ops/sec
lodash map	800,215 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

**Overview of the Benchmark**

The provided JSON represents a JavaScript microbenchmarking test case on MeasureThat.net, which compares the performance of different approaches for finding an item by ID in an array and replacing it with a new value.

**Benchmark Definition**

The benchmark definition consists of four individual test cases:

1. `lodash map`
2. ES6 `map`
3. `lodash findIndex` and `splice`
4. `ramda findIndex` and `splice`

These test cases demonstrate different ways to achieve the same goal using various JavaScript libraries: Lodash, Ramda, and native JavaScript.

**Options Compared**

The benchmark compares the performance of:

1. **Lodash**: A popular utility library for functional programming in JavaScript.
2. **Ramda**: Another functional programming library for JavaScript.
3. **Native JavaScript**: The built-in JavaScript functions `map()` and `findIndex()`, along with manual indexing and splicing.

**Pros and Cons of Each Approach**

1. **Lodash**:
	* Pros: Easy to use, well-documented, and widely adopted.
	* Cons: Additional dependency, may introduce unnecessary overhead due to its large size.
2. **Ramda**:
	* Pros: Offers a more concise and expressive API than Lodash.
	* Cons: Smaller community compared to Lodash, may have fewer features.
3. **Native JavaScript**:
	* Pros: No additional dependencies, lightweight, and well-suited for performance-critical code.
	* Cons: Requires manual indexing and splicing, which can be error-prone.

**Library Purpose**

The `lodash` library provides a comprehensive set of functional programming utilities, including the `map()` function used in the benchmark. It's designed to make common tasks easier and more efficient.

The `ramda` library offers a more concise API for functional programming, with features like higher-order functions and currying. It's intended to be a more expressive alternative to Lodash.

**Special JS Features/Syntax**

None of the test cases explicitly use any special JavaScript features or syntax that would require additional explanation.

**Other Alternatives**

If you're looking for alternatives to Lodash and Ramda, consider:

1. **Underscore.js**: Another popular utility library for functional programming in JavaScript.
2. **MooTools**: A comprehensive JavaScript framework with a range of utilities, including functional programming helpers.
3. **RxJS**: A reactive programming library that provides a different approach to handling data streams and transformations.

These libraries offer varying degrees of similarity to Lodash and Ramda, but may have their own strengths and weaknesses depending on your specific use case.

find by id and replace in array [lodash vs js vs ramda] (version: 0)

find by id and replace in array [lodash vs js vs ramda]

Comparing performance of: `lodash map vs es6 map vs lodash findIndex and splice vs ramda findIndex and splice vs ramda map`

Created: 4 years ago by: Registered User

Go to the latest result

lodash map

es6 map

lodash findIndex and splice

ramda findIndex and splice

ramda map

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

find by id and replace in array [lodash vs js vs ramda] (version: 0)

find by id and replace in array [lodash vs js vs ramda]

Comparing performance of: lodash map vs es6 map vs lodash findIndex and splice vs ramda findIndex and splice vs ramda map

Created: 4 years ago by: Registered User

Go to the latest result

lodash map

es6 map

lodash findIndex and splice

ramda findIndex and splice

ramda map

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

Related benchmarks

Comparing performance of: `lodash map vs es6 map vs lodash findIndex and splice vs ramda findIndex and splice vs ramda map`