Benchmark: Lodash vs Native Filter

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

var data = Array(1000000).fill({ filtering: Math.floor(Math.random() * Math.floor(2)), mapping: 42 });

Tests:

NAtive
data.filter(({ filtering }) => filtering)
loadash
_.filter(data, 'filtering')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
NAtive
loadash

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 is being tested.

**Benchmark Definition:**

The benchmark definition specifies two different ways of filtering an array in JavaScript:

1. **Native Filter**: This approach uses the built-in `filter()` method of JavaScript arrays, which iterates over each element in the array and returns a new array with only the elements that pass the test implemented by the provided function.
2. **Lodash Filter**: This approach uses the `filter()` method from the Lodash library, which is a utility library for functional programming. The `filter()` function takes an array and a callback function as arguments, and returns a new array containing only the elements that satisfy the condition specified in the callback.

**Options Compared:**

The benchmark compares two options:

1. **Native Filter**: Using the built-in `filter()` method of JavaScript arrays.
2. **Lodash Filter**: Using the `filter()` method from the Lodash library.

**Pros and Cons:**

**Native Filter:**

Pros:

* No external dependencies, making it a more lightweight option.
* Generally faster since it's a native implementation.
* Easy to understand and implement.

Cons:

* May not be as concise or readable for complex filtering scenarios.
* Can lead to slower performance in browsers that don't support the `filter()` method natively (e.g., older browsers).

**Lodash Filter:**

Pros:

* More concise and readable syntax, making it easier to write and maintain complex filtering logic.
* Can handle more complex filtering scenarios out of the box.

Cons:

* External dependency on the Lodash library, which may introduce a slight performance overhead.
* May be slower than native `filter()` due to the additional abstraction layer.

**Library: Lodash**

Lodash is a utility library for functional programming in JavaScript. It provides a wide range of functions and methods that can simplify common tasks, such as array manipulation, string manipulation, and object transformation. In this benchmark, Lodash is used to provide its `filter()` function, which is then compared to the native `filter()` method.

**Other Considerations:**

* Browser support: The benchmark assumes that both native `filter()` and Lodash `filter()` are supported in modern browsers. However, older browsers may not support the `filter()` method natively.
* Performance: The benchmark measures performance using the number of executions per second (ExecutionsPerSecond). This metric can be influenced by factors such as browser caching, network latency, and other system resources.

**Alternatives:**

If you need to filter arrays in JavaScript, there are other alternatives to consider:

1. **Vanilla JavaScript**: You can implement your own filtering logic using vanilla JavaScript, without relying on libraries like Lodash.
2. **Other libraries**: Other JavaScript libraries, such as Ramda or Underscore.js, may offer similar filtering functionality to Lodash.
3. **Caching and memoization**: If you need to filter arrays frequently, consider implementing caching and memoization techniques to optimize performance.

Keep in mind that the choice of library or implementation depends on your specific use case, performance requirements, and personal preference.

Related benchmarks:

Lodash vs Native Filter (version: 0)

Comparing performance of: NAtive vs loadash

Created: 6 years ago by: Guest

Jump to the latest result

NAtive

loadash

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):