Benchmark: indexOf vs _.indexOf

HTML Preparation code:

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

Script Preparation code:

var array = ['banana', 'sausage', 'jesus']

Tests:

IndexOf
array.indexOf('sausage') !== 1
_.IndexOf
_.indexOf(array, 'sausage')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
IndexOf
_.IndexOf

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):

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I'll explain the JavaScript microbenchmark you provided.

**Benchmark Definition**

The benchmark is defined by a JSON object that contains several key pieces of information:

* `Name`: The name of the benchmark, which in this case is "indexOf vs _.IndexOf".
* `Description`: An optional description of the benchmark, but it's empty in this case.
* `Script Preparation Code`: A JavaScript code snippet that sets up the array to be used for the benchmark. In this case, an array containing three strings: "banana", "sausage", and "jesus". This code is executed before each test run to ensure consistency across runs.
* `Html Preparation Code`: A HTML code snippet that includes a script tag referencing the Lodash library version 4.17.5. This library provides several functions, including `_.indexOf()`, which is used in one of the benchmark tests.

**Test Cases**

The benchmark consists of two test cases:

1. **IndexOf**: Tests the native JavaScript method `array.indexOf('sausage')`.
2. **_.IndexOf**: Tests the Lodash function `_.indexOf(array, 'sausage')`.

Both test cases aim to measure the execution time of searching for a specific element in the array.

**Options Compared**

The benchmark compares two approaches:

* Native JavaScript method: `array.indexOf('sausage')`
* Lodash function: `_.indexOf(array, 'sausage')`

**Pros and Cons of Each Approach**

**Native JavaScript Method**

Pros:

* Built-in to JavaScript, so no extra library is required.
* Generally faster since it's implemented in native code.

Cons:

* May have performance variations across browsers and JavaScript engines.
* Not as readable or maintainable as a separate function.

**Lodash Function**

Pros:

* Highly optimized for performance.
* Provides more flexibility and readability through the use of functions like `_.indexOf()`.
* Can be easily tested, validated, and documented.

Cons:

* Requires an additional library (Lodash) to be included in the test environment.
* May introduce overhead due to the extra dependency.

**Library - Lodash**

Lodash is a popular JavaScript utility library that provides a set of functional programming helpers. The `_.indexOf()` function is one of its most commonly used functions, which performs an index-of search on an array (or other iterable) for the first occurrence of a value. It's designed to be fast and efficient while providing a convenient and readable way to perform this operation.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntax mentioned in this benchmark that would require specific handling or explanations.

**Other Alternatives**

If you want to run similar benchmarks, you can consider the following alternatives:

* V8 Benchmark Suite: Provides a comprehensive set of benchmarks for various JavaScript engines and libraries.
* JSPerf.com: A popular online platform for running JavaScript performance benchmarks.
* Microbenchmarking libraries like `micro-benchmark` or ` benchmark`: These libraries provide simple APIs for creating and running microbenchmarks.

Keep in mind that the choice of alternative depends on your specific needs, target audience, and testing requirements.

Related benchmarks:

indexOf vs _.indexOf (version: 0)

Comparing performance of: IndexOf vs _.IndexOf

Created: 5 years ago by: Guest

Jump to the latest result

IndexOf

_.IndexOf

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):