Benchmark: Filter: Lodash vs Native

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: true, mapping: 42 });

Tests:

Native filter
data.filter(({ filtering }) => filtering)
Lodash filter
_.filter(data, 'filtering')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native filter
Lodash filter

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36

Browser/OS: Chrome 134 on Windows

View result in a separate tab

Test name	Executions per second
Native filter	61.9 Ops/sec
Lodash filter	75.1 Ops/sec

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

LLMs can make mistakes. Check important info.

I'd be happy to explain the benchmark and its various aspects.

**Benchmark Overview**

The provided benchmark is designed to compare the performance of native JavaScript filtering with Lodash, a popular JavaScript utility library. The benchmark consists of two test cases: "Native filter" and "Lodash filter". Both tests measure how fast they can filter an array of 1 million objects.

**Script Preparation Code**

The script preparation code defines a dataset `data` containing 1 million objects with a single property `filtering` set to `true`. This dataset is used for both test cases. The script also includes the Lodash library, which is required for the "Lodash filter" test case.

**Benchmark Definition JSON**

The benchmark definition JSON specifies two tests:

1. **Native filter**: Tests how fast a native JavaScript function can filter the array using the `filter()` method.
2. **Lodash filter**: Tests how fast the Lodash library's `filter()` function can achieve the same filtering operation on the dataset.

**Options Compared**

The two test cases are comparing the performance of:

* Native JavaScript (using built-in `filter()` method)
* Lodash library (using `_.filter()` function)

**Pros and Cons**

### Native Filter

Pros:

* No additional dependencies required
* Built-in functionality in JavaScript, so no overhead from loading a separate library
* Potentially faster since it doesn't require loading an external library

Cons:

* May not be as efficient or optimized for large datasets due to its dynamic nature

### Lodash Filter

Pros:

* Optimized and tested by the authors of Lodash
* Might provide better performance on certain types of data due to its internal optimizations
* Can handle complex filtering operations more easily than native JavaScript

Cons:

* Requires loading an additional library, which can introduce overhead
* May not be as well-optimized for very large datasets compared to a pure native implementation

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, string manipulation, and more. The `filter()` function in Lodash is specifically designed to handle filtering arrays efficiently.

In this benchmark, the "Lodash filter" test case uses the `_.filter()` function from Lodash to perform the filtering operation on the dataset.

**Other Considerations**

* **Device and Browser Variability**: The benchmark results show variations in performance across different browsers (Chrome 129) and devices (Desktop). This highlights the importance of testing multiple scenarios to ensure the benchmark's accuracy.
* **Test Case Variability**: By including both native filter and Lodash filter, the benchmark tests different approaches to filtering large datasets. This allows users to compare the relative performance of these two methods.

**Alternatives**

Other alternatives for filtering arrays in JavaScript include:

* Vanilla `filter()` method (similar to Native Filter)
* Other libraries like Moment.js or Underscore.js
* Custom implementations using imperative loops or other optimization techniques

Keep in mind that each approach has its trade-offs, and the best choice depends on specific requirements, performance needs, and personal preferences.

Related benchmarks:

Filter: Lodash vs Native (version: 0)

Comparing performance of: Native filter vs Lodash filter

Created: 7 years ago by: Guest

Jump to the latest result

Native filter

Lodash filter

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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