Benchmark: react-fast-compare vs JSON.stringify Equality Comparison for Shallow Array of Strings.

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/react-fast-compare@latest/index.js"></script>

Script Preparation code:

window.foo = ['cat', 'dog', 'bird'];
window.bar = ['cat', 'dog', 'bird'];

Tests:

react-fast-compare
equal(window.foo, window.bar)
JSON.stringify
JSON.stringify(window.foo).localeCompare(window.bar) === 0

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
react-fast-compare
JSON.stringify

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 16 days ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36

Browser/OS: Chrome 130 on Linux

View result in a separate tab

Test name	Executions per second
react-fast-compare	1909938.8 Ops/sec
JSON.stringify	811890.8 Ops/sec

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

LLMs can make mistakes. Check important info.

I'd be happy to explain the benchmark.

**What is being tested?**

The provided JSON represents two test cases: `react-fast-compare` and `JSON.stringify`. Both tests aim to compare the performance of shallow array equality comparison for strings using different approaches.

**Options compared:**

1. **React Fast Compare**: A library that provides a fast and efficient way to compare arrays and objects. It's designed to be used in web applications, especially those using React.
2. **JSON.stringify Equality Comparison**: This approach uses the `localeCompare` method of the string object to compare two arrays of strings for equality.

**Pros and Cons:**

* **React Fast Compare**:
	+ Pros: Fast and efficient, optimized for modern web applications.
	+ Cons: Requires additional library installation (`react-fast-compare@latest/index.js`) and may have a higher memory footprint due to its internal data structures.
* **JSON.stringify Equality Comparison**:
	+ Pros: Lightweight and simple to implement, no additional library required.
	+ Cons: Slower than React Fast Compare for large arrays, as it involves string concatenation and locale comparison.

**Library usage:**

The `react-fast-compare` library is used in the first test case (`"Benchmark Definition": "equal(window.foo, window.bar)"`). The `equal` function from the library is used to compare two arrays for equality using React Fast Compare's optimized algorithm. The `window.foo` and `window.bar` variables are prepared as shallow arrays of strings before the benchmark.

**Special JS feature or syntax:**

The `localeCompare` method is used in the second test case (`"Benchmark Definition": "JSON.stringify(window.foo).localeCompare(window.bar) === 0"`), which is a standard JavaScript method for comparing strings. It's not a special feature, but rather a built-in method that returns a negative integer if the first string is less than the second, zero if they're equal, and a positive integer if the first string is greater.

**Other alternatives:**

If you need to compare arrays of strings for equality in JavaScript, other approaches you could consider include:

1. **Using the `===` operator**: While not ideal, this can be used as a simple comparison method.
2. **Implementing your own custom comparison function**: You can create a custom function that compares two arrays element-wise using a custom algorithm.

Keep in mind that these alternatives may have different performance characteristics compared to React Fast Compare or JSON.stringify Equality Comparison.

Related benchmarks:

react-fast-compare vs JSON.stringify Equality Comparison for Shallow Array of Strings. (version: 0)

Test on deep equality performance

Comparing performance of: react-fast-compare vs JSON.stringify

Created: 3 years ago by: Guest

Jump to the latest result

react-fast-compare

JSON.stringify

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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