Benchmark: lodash vs es6 (subset)

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/g/lodash@4(lodash.min.js+lodash.fp.min.js)"></script>

Script Preparation code:

var dataset = [...Array(100)].map((v, idx) => idx);
var candidates = [1, 2, 5];

Tests:

lodash
var flag = _.difference(candidates, dataset).length === 0;
es6 set
var ds = new Set(dataset); var cs = new Set(candidates); var flag = ([...cs].filter(v => !ds.has(v))).length === 0;
es6 loop
var flag = true; dataset.forEach((v) => { if (!candidates.includes(v)) { flag = false; } });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash
es6 set
es6 loop

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**What is being tested?**

The provided JSON represents a benchmark that compares the performance of two approaches:

1. **Lodash**: A popular JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, string processing, and more.
2. **ES6 Set**: A built-in data structure in ECMAScript 2015 (ES6) that allows for efficient storage and lookup of unique values.

**Options compared**

The benchmark compares the performance of Lodash's `difference` function with an ES6 Set-based approach for finding differences between two arrays. Specifically, it tests:

1. **Lodash**: Uses the `difference` function from Lodash to find the difference between two arrays.
2. **ES6 Set**: Creates a new Set from each array and then uses the `filter` method to find elements that are present in one set but not the other.

**Pros and Cons**

* **Lodash**:
	+ Pros: Easy to use, well-maintained, and widely adopted library.
	+ Cons: Adds an extra dependency (Lodash), may introduce additional overhead due to its complexity.
* **ES6 Set**:
	+ Pros: Built-in data structure, efficient, and easy to understand for developers familiar with Sets.
	+ Cons: Requires understanding of ES6 syntax and Set implementation details.

**Library used**

The `difference` function from Lodash is used in the benchmark. Lodash provides a convenient way to perform array operations without having to write low-level code.

**Special JS feature or syntax**

None mentioned, but it's worth noting that the ES6 Set-based approach relies on the `filter` method and Sets data structure, which are part of the ECMAScript standard.

**Other alternatives**

If you wanted to implement a third approach, you could consider using:

1. **Array.prototype.filter**: This is another built-in method for filtering arrays in JavaScript. It would be similar to the ES6 Set-based approach.
2. **A library like Ramda**: Another popular functional programming library that provides an `difference` function.

**Benchmark preparation code**

The provided Script Preparation Code includes two important lines:

1. `var dataset = [...Array(100)].map((v, idx) => idx);`: Creates an array of 100 unique values using the `map` method.
2. `var candidates = [1, 2, 5];`: Defines a separate array with three elements.

The Html Preparation Code includes a script tag that loads Lodash's `lodash.min.js` and `lodash.fp.min.js` files from a CDN.

**Benchmark results**

The latest benchmark result shows the execution times for each test case:

| TestName | ExecutionsPerSecond |
| --- | --- |
| lodash | 670071.4375 |
| es6 set | 301467.1875 |
| es6 loop | 124907.0859375 |

These results indicate that Lodash is significantly faster than the ES6 Set-based approach, and the ES6 loop-based approach is even slower.

I hope this explanation helps you understand the benchmark and its results!

Related benchmarks:

lodash vs es6 (subset) (version: 0)

Comparing performance of: lodash vs es6 set vs es6 loop

Created: 5 years ago by: Guest

Jump to the latest result

lodash

es6 set

es6 loop

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):