Benchmark: native findIndex vs lodash find elem

HTML Preparation code:

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

Script Preparation code:

var users = [
  { 'user': 'joey',  'cA': {"currency": "wadd","value": 0}, 'TA': {"currency": "wadd","value": 0}, 'PA': {"currency": "wadd","value": 0} },
  { 'user': 'ross',  'cA': {"currency": "wadd","value": 0}, 'TA': {"currency": "wadd","value": 0}, 'PA': {"currency": "wadd","value": 0},  'age': 31 },
  { 'user': 'chandler', 'cA': {"currency": "wadd","value": 0}, 'TA': {"currency": "wadd","value": 0}, 'PA': {"currency": "wadd","value": 0},'age': 30 },
  { 'user': 'jessika','cA': {"currency": "wadd","value": 0}, 'TA': {"currency": "wadd","value": 0}, 'PA': {"currency": "wadd","value": 0}, 'age': 21 },
  { 'user': 'amanda', 'cA': {"currency": "wadd","value": 0}, 'TA': {"currency": "wadd","value": 0}, 'PA': {"currency": "wadd","value": 0},'age': 17 }
]

Tests:

Native findIndex
users[users.findIndex(u => u.user === 'jessika')]
_.findIndex
_.find(users, u => u.user === 'jessika')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native findIndex
_.findIndex

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 months ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36

Browser/OS: Chrome 143 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Native findIndex	88857768.0 Ops/sec
_.findIndex	23872866.0 Ops/sec

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

LLMs can make mistakes. Check important info.

**What is being tested?**

The provided JSON represents two test cases that compare the performance of native JavaScript's `findIndex` method with Lodash's `_findIndex` function.

**Options being compared:**

1. Native JavaScript's `findIndex` method
2. Lodash's `_findIndex` function

**Pros and Cons:**

* **Native JavaScript's `findIndex` method:**
	+ Pros:
		- Built-in, no additional library dependencies required.
		- Optimized for performance in modern browsers.
	+ Cons:
		- Can be slower than Lodash's implementation due to the overhead of calling a custom function.
		- May not perform as well on older browsers or with limited resources.
* **Lodash's `_findIndex` function:**
	+ Pros:
		- Highly optimized and tested, resulting in faster performance.
		- Provides additional functionality and tools for working with arrays.
	+ Cons:
		- Requires an external library dependency (Lodash).
		- May not be suitable for use cases where minimizing size and weight is essential.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for working with arrays, objects, strings, numbers, and more. `_findIndex` is one of the many useful functions available in Lodash, allowing developers to find the index of the first element in an array that satisfies a given condition.

**Special JS feature: none**

Neither test case relies on any special JavaScript features or syntax.

**Other alternatives:**

If you need a lightweight alternative to `findIndex`, you can consider using the native `Array.prototype.findIndex` method without calling it as a function, like this:
```javascript
const index = users.findIndex(u => u.user === 'jessika');
```
Alternatively, if you're working in an older browser or require even more minimalism, you can use a simple `for` loop to find the desired element.

Keep in mind that these alternatives might not provide the same performance as using native `findIndex` or Lodash's `_findIndex`, but they can be useful in certain situations.

Related benchmarks:

native findIndex vs lodash find elem (version: 0)

Compare performance of native [].findIndex and _.find

Comparing performance of: Native findIndex vs _.findIndex

Created: 3 years ago by: Guest

Jump to the latest result

Native findIndex

_.findIndex

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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