Benchmark: Object.assign vs Lodash.omit

HTML Preparation code:

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

Script Preparation code:

var person = {name: 'Frederick', lastName: 'Corcino Alejo', age: 15};

Tests:

Lodash Assing
Object.assign({}, person, {age: 5});
Native Assing
Object.assign({age: 5}, _.omit(person, 'age'));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash Assing
Native Assing

Fastest: N/A

Slowest: N/A

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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 definition and test cases to understand what's being tested.

**Benchmark Definition**

The benchmark measures the performance of two approaches: `Object.assign` with Lodash (`_.omit`) and native JavaScript.

**What is Object.assign?**

`Object.assign()` is a method that copies properties from one or more source objects into a destination object. It was introduced in ECMAScript 2015 (ES6) as part of the standard library.

**What is Lodash.omit?**

Lodash is a popular JavaScript utility library that provides various helper functions for tasks like array manipulation, object transformation, and more. `_.omit()` is a function from Lodash that returns a new object with the specified keys removed from the original object.

**Comparison of Object.assign vs Lodash.omit**

The benchmark compares the performance of two approaches:

1. **Lodash Assing (Lodash _.omit)**: This approach uses Lodash to create a new object that excludes the `age` property from the `person` object.
2. **Native Assing**: This approach uses native JavaScript's `Object.assign()` method to create a new object and then assigns specific properties from an existing object (`_.omit(person, 'age')`) into it.

**Pros and Cons of each approach:**

1. **Lodash Assing**:
	* Pros: Lodash is widely used and well-maintained, making it easy to find resources and community support.
	* Cons: It requires including an additional library (Lodash) in the project, which may increase bundle size or have impact on build times.
2. **Native Assing**:
	* Pros: No extra library required, native JavaScript performance can be optimized for specific use cases.
	* Cons: Requires more manual effort to implement and maintain, as it relies on understanding the internal workings of `Object.assign()`.

**Other considerations:**

1. **Browser support**: Both approaches are supported by modern browsers, but older browsers might not have access to Lodash or may require additional polyfills for native JavaScript implementations.
2. **Performance variations**: Results can vary depending on factors like browser engine, CPU architecture, and version-specific optimizations in `Object.assign()`.

**Example code**

Here's a brief implementation of the two approaches:

Lodash Assing:
```javascript
const _ = require('lodash');

const person = { name: 'Frederick', lastName: 'Corcino Alejo', age: 15 };

const newPerson = _.omit(person, 'age');
```

Native Assing:
```javascript
const person = { name: 'Frederick', lastName: 'Corcino Alejo', age: 15 };

Object.assign({}, person, { age: 5 });
// or using spread operator
Object.assign({}, person, ...[{ age: 5 }]);
```

**Alternatives**

Other alternatives for creating new objects with specific properties include:

1. **Spread operator (`{ ... }`)**: Introduced in ECMAScript 2018 (ES9), this method allows assigning properties from an object using the spread operator.
2. **Object.create()**: This method creates a new object based on a prototype, allowing for more fine-grained control over inheritance.

In conclusion, the benchmark provides valuable insights into the performance differences between Lodash's `_.omit()` and native JavaScript's `Object.assign()` methods when used with specific property assignments. Understanding these approaches is essential for optimizing JavaScript code in various contexts.

Related benchmarks:

Object.assign vs Lodash.omit (version: 0)

Measuring approaches performance

Comparing performance of: Lodash Assing vs Native Assing

Created: 3 years ago by: Guest

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Lodash Assing

Native Assing

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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