Benchmark: Array of objects property extraction

HTML Preparation code:

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

Script Preparation code:

var arr = [...Array(2000).fill({ test: 'val'})];

Tests:

ramdajs collectBy
R.collectBy(R.prop('test'), arr)[0];
map
arr.map(({ test }) => test);
ramdajs project
const getTest = R.project(['test']) const result = getTest(arr)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
ramdajs collectBy
map
ramdajs project

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36

Browser/OS: Chrome 121 on Windows

View result in a separate tab

map

92K/s

ramdajs project

16K/s

ramdajs collectBy

0/s

View exact numbers

Test name	Executions per second
✓ map	91,597 Ops/sec
ramdajs project	15,533 Ops/sec
ramdajs collectBy	0 Ops/sec

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark definition and test cases to explain what's being tested, compare different approaches, and discuss pros and cons.

**Overview**

The provided benchmark measures the performance of extracting an object property from an array of objects using three different methods: `map`, `collectBy` (from the Ramda library), and a custom implementation (`project`).

**Test Cases**

There are three test cases:

1. **"ramdajs collectBy"`: This test case uses the `collectBy` function from the Ramda library to extract the value of the `"test"` property from each object in the array.
2. **"map"`: This test case uses the built-in `map` function to achieve the same result as `collectBy`.
3. **"ramdajs project"`: This test case uses the `project` function from Ramda to extract the value of the `"test"` property from each object in the array.

**Script Preparation Code**

The script preparation code creates an array of 2000 objects with a single property `"test"` set to `'val'`.

**Html Preparation Code**

The HTML preparation code includes a reference to the Ramda library (version 0.25.0) using a CDN.

**Library: Ramda**

Ramda is a functional programming library for JavaScript that provides a set of higher-order functions for data processing and manipulation. The `collectBy` function takes two arguments: the input array and a function that extracts a property value from each element in the array. In this case, the extracted value is the `"test"` property.

The `project` function takes two arguments: an object with multiple properties and an array of property indices. It returns an object with only the specified properties.

**Performance Comparison**

Here's a brief summary of each approach:

* **"ramdajs collectBy"`:
	+ Pros: More concise and expressive than other approaches, well-suited for functional programming.
	+ Cons: May have higher overhead due to the additional function call.
* **"map"`:
	+ Pros: Built-in, widely supported, and efficient.
	+ Cons: Less concise and less expressive than `collectBy`, may require more memory allocation.
* **"ramdajs project"`:
	+ Pros: More flexible and powerful than `collectBy` for complex data transformations.
	+ Cons: May be overkill for simple use cases like this one, requires additional setup.

**Other Considerations**

* The benchmark measures the execution rate per second (`ExecutionsPerSecond`) for each test case, which is a good indicator of performance.
* The results are reported for three different browsers and platforms (Chrome 121 on Windows Desktop), which helps to evaluate cross-browser compatibility.

**Alternatives**

If you're looking for alternative libraries or approaches for data transformation and manipulation in JavaScript, consider:

* Lodash: A popular utility library that provides a comprehensive set of functions for data processing.
* Underscore.js: Another well-known utility library that offers a wide range of functions for functional programming.
* Native JavaScript methods: For simple transformations, you can use native JavaScript methods like `forEach`, `map`, and `reduce`.

Array of objects property extraction (version: 0) Benchmark.js

Comparing performance of: `ramdajs collectBy vs map vs ramdajs project`

Created: 4 years ago by: Guest

Go to the latest result

ramdajs collectBy

map

ramdajs project

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Array of objects property extraction (version: 0) Benchmark.js

Comparing performance of: ramdajs collectBy vs map vs ramdajs project

Created: 4 years ago by: Guest

Go to the latest result

ramdajs collectBy

map

ramdajs project

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: `ramdajs collectBy vs map vs ramdajs project`