Benchmark: Lodash.js vs Native 10

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js"></script>

Script Preparation code:

var data = new Array(10).fill({'firstName':'First', 'lastName': 'Last'});


var printFullName = (firstName, lastName) => console.log(firstName+' '+lastName);

Tests:

Native
data.map(item => printFullName(item.firstName, item.lastName));
Lodash
_.map(data, item => printFullName(item.firstName, item.lastName))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native
Lodash

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

**Benchmark Explanation**

The provided JSON represents a JavaScript microbenchmark test case, specifically comparing the performance of native JavaScript and Lodash's `map` function in executing an iterative operation on a large dataset.

**Options Compared:**

1. **Native JavaScript:** The native JavaScript implementation uses a simple loop to iterate over the `data` array and call the `printFullName` function for each element.
2. **Lodash's `map` function:** Lodash's `map` function is used to apply the `printFullName` function to every element in the `data` array.

**Pros and Cons of Each Approach:**

1. **Native JavaScript:**
	* Pros:
		+ No additional library dependencies.
		+ Can be optimized for specific use cases by the developer.
	* Cons:
		+ Requires manual iteration over the data, which can lead to less efficient performance compared to vectorized operations.
2. **Lodash's `map` function:**
	* Pros:
		+ Provides a high-level, concise way to perform common array operations.
		+ Vectorized, meaning it can operate on entire arrays at once, leading to potentially better performance.
	* Cons:
		+ Requires an additional library dependency (Lodash).
		+ May incur overhead due to the library's internal workings.

**Library and Syntax Considerations:**

1. **Lodash:** Lodash is a popular utility library for JavaScript that provides a wide range of functions for common tasks, including array manipulation. The `map` function used in this benchmark is part of Lodash.
2. **JavaScript Features:** This benchmark does not explicitly test any special JavaScript features or syntax. However, it's worth noting that modern JavaScript engines often have various optimizations and features that can impact performance, such as:

* `let` and `const` declarations, which can help with scoping and memory management.
	* `forEach` and `for...of` loops, which can be more efficient than traditional `for` loops.
	* Array methods like `map`, `filter`, and `reduce`, which are often implemented in a way that's optimized for performance.

**Other Alternatives:**

For similar benchmarking purposes, other libraries or implementations could be used to compare performance. Some examples include:

1. **Array.prototype.map() equivalent:** Using the built-in `Array.prototype.map()` method without Lodash.
2. **Other array manipulation libraries:** Such as Ramda or Loyal.

Keep in mind that these alternatives would likely have similar performance characteristics as native JavaScript and Lodash's `map` function, respectively.

Related benchmarks:

Lodash.js vs Native 10 (version: 0)

Comparing performance of: Native vs Lodash

Created: 3 years ago by: Guest

Jump to the latest result

Native

Lodash

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):