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JSON.stringify vs react-fast-compare vs _.isEqual
(version: 0)
Comparing performance of:
JSON.stringify vs react-fast-compare vs lodash
Created:
5 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdn.jsdelivr.net/npm/react-fast-compare@3.2.0/index.min.js'></script> <script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Script Preparation code:
window.a = { ab: { hello: "user", b: { aaa: 123, b: ["ggg"] }, c: [{ hj: "123", b: { h: "zzz" } }, { ll: "12r" }] }, azz: [1, 2, 3, 5] }; window.b = { ab: { hello: "user", b: { aaa: 123, b: ["ggg"] }, c: [{ hj: "123", b: { h: "zzz" } }, { ll: "12r" }] }, azz: [1, 2, 3, 568] };
Tests:
JSON.stringify
JSON.stringify(window.a) === JSON.stringify(window.b);
react-fast-compare
equal(window.a, window.b)
lodash
_.isEqual(a,b)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
Fork
Test case name
Result
JSON.stringify
react-fast-compare
lodash
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36 Edg/136.0.0.0
Browser/OS:
Chrome 136 on Mac OS X 10.15.7
View result in a separate tab
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Embed Benchmark Result
Test name
Executions per second
JSON.stringify
1516498.6 Ops/sec
react-fast-compare
1848472.4 Ops/sec
lodash
41102.9 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON and explain what is being tested. **Benchmark Definition** The benchmark compares three approaches to check if two objects are equal: `JSON.stringify`, `react-fast-compare`, and `_`.isEqual` (from Lodash). * **JSON.stringify**: This approach converts both objects to a string representation using the `JSON.stringify()` method. The resulting strings are then compared for equality. * **React Fast Compare (`equal` function)**: This library provides an optimized way to compare complex data structures, such as arrays and objects. It uses a combination of algorithms to ensure accurate comparisons. * **Lodash (_).isEqual** ( `_.isEqual(a,b)` ): Lodash's `_.isEqual()` function compares two values for equality, handling various edge cases and data types. **Pros and Cons of Each Approach** 1. **JSON.stringify**: * Pros: * Simple implementation * Fast execution due to string comparison * Cons: * Limited support for complex data structures (e.g., arrays, objects with nested properties) * May not work correctly for certain edge cases (e.g., cyclic references) 2. **React Fast Compare (`equal` function)**: * Pros: * Highly optimized and efficient * Handles complex data structures and edge cases well * Provides a robust way to compare objects and arrays * Cons: * Larger codebase compared to Lodash's `_.isEqual()` * May require additional dependencies 3. **Lodash `_`.isEqual**: * Pros: * Lightweight implementation with minimal dependencies * Robust support for various data types and edge cases * Widely used in the JavaScript community * Cons: * May not be as optimized as React Fast Compare's `equal` function **Library and Purpose** * **React Fast Compare**: A lightweight, fast, and robust library designed to compare complex data structures, such as arrays and objects. Its primary purpose is to provide an efficient way to check for equality between two values. * **Lodash**: A popular JavaScript utility library that provides a wide range of functions for common tasks, including string manipulation, array manipulation, and object comparison (via `_.isEqual()`). **Special JS Feature or Syntax** None mentioned in the provided JSON. **Alternative Approaches** For object comparison: 1. **DeepEqual**: Another library specifically designed for comparing complex data structures. 2. **JsonDiffPatch**: A library that generates a diff patch between two objects, allowing you to identify differences and update one object based on the other. For string comparison: 1. **Levenshtein Distance Algorithm**: Measures the similarity between two strings by calculating the minimum number of single-character edits needed to transform one into the other. 2. **Jaro-Winkler Distance Algorithm**: An improved version of the Levenshtein distance algorithm, providing a more accurate measure of similarity. These alternative approaches can be used depending on the specific requirements and use cases for object comparison or string matching.
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