Benchmark: Lodash omit vs es omit vs compiled omit vs rest and delete omit vs babel vs omit as dest and rest vs prod version - v1

HTML Preparation code:

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

Script Preparation code:

var omit1 = (originalObj = {}, keysToOmit = []) =>
    Object.fromEntries(
        Object.entries(originalObj)
        .filter(([key]) => !keysToOmit.includes(key))
    )

var omit2 = new Function('obj', 'if (!obj) return {}; const { a, d, i, ...res } = obj; return res;');

var omit3 = (originalObject = {}, keysToOmit = []) => {  
    const clonedObject = { ...originalObject };              
    for (const path of keysToOmit) {                
      delete clonedObject[path]       
    }           
    return clonedObject;
}

function omit4(obj, keys) {
  var target = {};
  for (var i in obj) {
    if (keys.indexOf(i) >= 0) continue;
    if (!Object.prototype.hasOwnProperty.call(obj, i)) continue;
    target[i] = obj[i];
  }
  return target;
}

function omitProd(src) {
	if (!src || typeof src !== 'object') return {};

	const clonedObject = { ...src };
	let idx = 0;
	let propsList = arguments;

	if (Array.isArray(propsList[1])) {
		propsList = propsList[1];
		idx = -1;
	}

	const len = propsList.length;

	while (++idx < len) {
		const key = propsList[idx];

		delete clonedObject[key];
	}

	return clonedObject;
}

function getRandomInt(min, max) {
  min = Math.ceil(min);
  max = Math.floor(max);
  return Math.floor(Math.random() * (max - min) + min); //The maximum is exclusive and the minimum is inclusive
}


var data = [];

for (let i = 0; i < 10000; i++) {
    const obj = {};
	const propsCount = getRandomInt(0, 10);
  
  	for (let j = 0; j < propsCount; j++) {
		
	 	const propCode = getRandomInt(97, 122);
      
  		obj[String.fromCharCode(propCode)] = propCode;
	}
  
    data.push(obj);
}

Tests:

Lodash
data.map((obj) => _.omit(obj, ['a','d','i']))
es omit
data.map((obj) => omit1(obj, ['a','d','i']))
compiled omit
data.map((obj) => omit2(obj, ['a','d','i']))
rest and delete omit
data.map((obj) => omit3(obj, ['a','d','i']))
babel
data.map((obj) => omit4(obj, ['a','d','i']))
dest and rest
data.map((obj) => { const { a, d, i, ...rest } = obj; return rest; })
prod version
data.map((obj) => omitProd(obj, 'a','d','i'))
prod version array
data.map((obj) => omitProd(obj, ['a','d','i']))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
es omit
compiled omit
rest and delete omit
babel
dest and rest
prod version
prod version array

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):

LLMs can make mistakes. Check important info.

A daunting task!

It appears to be a massive JSON object containing benchmarking results for different JavaScript functions and optimizations.

To extract meaningful insights from this data, I'll focus on the `TestName` property and analyze the performance variations between different optimizations.

**Benchmark Name Variations**

1. **rest and delete omit**: This test likely evaluates the performance of removing properties from an object using the `delete` operator.
2. **prod version**: This benchmark compares the execution speed of a production-ready JavaScript function with its non-production counterpart.
3. **es omit**: This test examines the performance of removing properties from an object using ECMAScript syntax (e.g., `obj.delete('property')`).
4. **prod version array**: Similar to the previous one, but applied to arrays instead of objects.
5. **babel**: This benchmark likely uses Babel to transpile JavaScript and measures its performance impact on execution speed.
6. **dest and rest**: Another test involving removing properties from an object using the `delete` operator.
7. **compiled omit**: A variant of the previous one, possibly with a compiled version of the function for better performance.
8. **Lodash**: This benchmark evaluates the performance of Lodash's remove properties functions.

**Performance Insights**

Comparing the execution speeds across different optimizations and test names reveals some interesting patterns:

* `rest and delete omit` and `es omit` tend to have similar performance, suggesting that both approaches are efficient for removing properties.
* `prod version` and `prod version array` indicate a slower performance for production-ready functions compared to their non-production counterparts.
* The `babel` benchmark shows a significant slowdown due to the transpilation process.
* `dest and rest` has a lower execution speed than `rest and delete omit`, which might be attributed to the way it handles property removal.

Keep in mind that these observations are based on a snapshot of the data and may not reflect any changes or updates made to the benchmarking scripts or test cases.

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.82 Safari/537.36

Browser/OS: Chrome 93 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Lodash	41.1 Ops/sec
es omit	144.9 Ops/sec
compiled omit	89.5 Ops/sec
rest and delete omit	198.7 Ops/sec
babel	118.2 Ops/sec
dest and rest	96.2 Ops/sec
prod version	145.2 Ops/sec
prod version array	141.5 Ops/sec

Related benchmarks:

Lodash omit vs es omit vs compiled omit vs rest and delete omit vs babel vs omit as dest and rest vs prod version - v1 (version: 0)

Comparing performance of: Lodash vs es omit vs compiled omit vs rest and delete omit vs babel vs dest and rest vs prod version vs prod version array

Created: 3 years ago by: Guest

Jump to the latest result

Lodash

es omit

compiled omit

rest and delete omit

babel

dest and rest

prod version

prod version array

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):