Benchmark: lodash chunk - MeasureThat.net

HTML Preparation code:

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

Script Preparation code:

var data = [1,3,2,1,4,5,6,7,8,9,0]

Tests:

Lodash
_.chunk(data,2);
Native
const chunk = (arr, size) => Array.from({ length: Math.ceil(arr.length / size) }, (v, i) => arr.slice(i * size, i * size + size) ); chunk(data,2);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Native

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 6 months ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:144.0) Gecko/20100101 Firefox/144.0

Browser/OS: Firefox 144 on Mac OS X 10.15

View result in a separate tab

Test name	Executions per second
Lodash	13757599.0 Ops/sec
Native	10954177.0 Ops/sec

Autogenerated LLM Summary (model gemma2:9b, generated one year ago):

LLMs can make mistakes. Check important info.

This benchmark compares the performance of two methods for chunking an array in JavaScript:

**Options Compared:**

1. **Lodash:** Uses the `_.chunk()` function from the Lodash library. 
2. **Native:** Implements the chunking logic using native JavaScript array methods (`slice`, `ceil`, and `Array.from`).

**Pros and Cons:**

* **Lodash:**
    * **Pros:**  Concise, potentially optimized for performance by Lodash's developers.
    * **Cons:** Introduces an external dependency (Lodash), which adds size to the application and could have potential conflicts with other libraries.

* **Native:**
    * **Pros:** No external dependencies, relies on core JavaScript functionality, generally more performant in cases where micro-optimizations are minimal.
    * **Cons:** Can be less concise than using a library function like `_.chunk()`. Requires writing the logic yourself, potentially introducing minor errors if not implemented carefully.

**Library Description:** Lodash is a popular JavaScript utility library that provides a wide range of functions for common programming tasks, including array manipulation, object operations, string processing, and more.

**Other Considerations:**

* **Data Size:** The benchmark's effectiveness depends on the size of the `data` array. With very small arrays, the performance difference might be negligible. 
* **Optimization Level:** Both Lodash and the native implementation could have internal optimizations that affect performance differently depending on JavaScript engine and runtime environment.

**Alternatives:**

Besides Lodash, there are other libraries like Ramda or Underscore.js that offer similar array manipulation functions.  You could also explore custom implementations using techniques like `for` loops and `splice`.

Let me know if you have any further questions.

Related benchmarks:

lodash chunk (version: 0)

Comparing performance of: Lodash vs Native

Created: 5 years ago by: Registered User

Jump to the latest result

Lodash

Native

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gemma2:9b, generated one year ago):