Benchmark: Bench fast-json-patch vs jsondiffpatch

HTML Preparation code:

        <script type='text/javascript' src="https://cdn.jsdelivr.net/npm/jsondiffpatch/dist/jsondiffpatch.umd.min.js"></script>
		<script src="https://cdn.jsdelivr.net/npm/deep-diff@1/dist/deep-diff.min.js"></script>
		<script src="https://cdn.jsdelivr.net/npm/fast-json-patch/dist/fast-json-patch.min.js"></script>

​x
 
        <script type='text/javascript' src="https://cdn.jsdelivr.net/npm/jsondiffpatch/dist/jsondiffpatch.umd.min.js"></script>
        <script src="https://cdn.jsdelivr.net/npm/deep-diff@1/dist/deep-diff.min.js"></script>
        <script src="https://cdn.jsdelivr.net/npm/fast-json-patch/dist/fast-json-patch.min.js"></script>
​
​

Script Preparation code:

obj1= {
        name: "Argentina",
        cities: [
        {
            name: 'Buenos Aires',
            population: 13028000,
        },
        {
            name: 'Cordoba',
            population: 1430023,
        },
        {
            name: 'Rosario',
            population: 1136286,
        },
        {
            name: 'Mendoza',
            population: 901126,
        },
        {
            name: 'San Miguel de Tucuman',
            population: 800000,
        }
        ]
    };
    
obj2= {
        name: "Argentina",
        cities: [
        {
            name: 'Cordoba',
            population: 1430023,
        },
        {
            name: 'Mendoza',
            population: 901126,
        },
        {
            name: 'San Miguel de Tucuman',
            population: 550000,
        }
        ]
    };

 
obj1= {        name: "Argentina",        cities: [        {            name: 'Buenos Aires',            population: 13028000,        },        {            name: 'Cordoba',            population: 1430023,        },        {            name: 'Rosario',            population: 1136286,        },        {            name: 'Mendoza',            population: 901126,        },        {            name: 'San Miguel de Tucuman',            population: 800000,        }        ]    };    obj2= {        name: "Argentina",        cities: [        {            name: 'Cordoba',            population: 1430023,        },        {            name: 'Mendoza',            population: 901126,        },        {            name: 'San Miguel de Tucuman',            population: 550000,        }        ]    };

Tests:

jsondiffpatch
var diff1 = jsondiffpatch.diff(obj1, obj2); /*var objnew = jsonpatch.deepClone(obj1); // jsondiffpatch.unpatch(objnew, diff1);*/
var diff1 = jsondiffpatch.diff(obj1, obj2);
/*var objnew = jsonpatch.deepClone(obj1);
// jsondiffpatch.unpatch(objnew, diff1);*/
FAST JSON-patch
var diff3 = jsonpatch.compare(obj1, obj2); /*var objnew = jsonpatch.deepClone(obj1); jsonpatch.applyPatch(objnew, diff3, false, true);*/
var diff3 = jsonpatch.compare(obj1, obj2);
/*var objnew = jsonpatch.deepClone(obj1);
jsonpatch.applyPatch(objnew, diff3, false, true);*/

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

Test case name	Result
jsondiffpatch
FAST JSON-patch

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 20 hours ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36

Browser/OS: Chrome 135 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
jsondiffpatch	627194.6 Ops/sec
FAST JSON-patch	2147855.0 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

Let's dive into the world of JSON patching benchmarks.

What is being tested?

The provided benchmark measures the performance difference between two libraries: fast-json-patch and jsondiffpatch. Specifically, it tests how quickly each library can compute the differences between two objects (obj1 and obj2) using a JSON patching approach.

Options compared:

There are two options being compared:

Fast-JSON-Patch: This is a lightweight JavaScript library for creating and applying JSON patches. It's designed to be efficient and easy to use.
jsondiffpatch: This is another popular JavaScript library for computing the differences between two objects using a JSON patching approach.

Pros and Cons:

Fast-JSON-Patch:

Pros:

Lightweight and efficient
Easy to use and integrate into existing projects
Supports both synchronous and asynchronous usage

Cons:

May not be as robust or feature-rich as other libraries
Some users report issues with edge cases or complex data structures

jsondiffpatch:

Pros:

More robust and feature-rich than Fast-JSON-Patch
Handles more complex data structures and edge cases well
Supports both synchronous and asynchronous usage

Cons:

May be larger and slower than Fast-JSON-Patch due to its additional features
Has a steeper learning curve due to its more extensive API

Library descriptions:

Fast-JSON-Patch: This library provides an efficient way to create and apply JSON patches. It's ideal for simple use cases where only basic patching is required.
jsondiffpatch: This library takes it a step further by providing a more comprehensive solution for computing the differences between two objects using a JSON patching approach. It's suitable for more complex use cases that require robustness and flexibility.

Special JavaScript features:

None mentioned in this benchmark definition.

Other considerations:

Data structures: The benchmark uses simple objects with arrays as values. However, more complex data structures like nested objects or large datasets might require different approaches.
Performance optimizations: Both libraries provide various optimization techniques, such as caching and memoization, to improve performance. However, these optimizations might not be enabled by default in all configurations.
Integration with other libraries: The benchmark uses the fast-json-patch and jsondiffpatch libraries separately. In real-world scenarios, integrating these libraries with other libraries or frameworks might require additional considerations.

Alternatives:

Other popular JavaScript libraries for JSON patching include:

JSON Patch: A simple and lightweight library that provides a standard format for representing patches.
json-patch: Another popular library that offers a more comprehensive solution for computing the differences between two objects using a JSON patching approach.

When choosing a library, consider factors like performance, feature set, and ease of use to determine which one best fits your project's needs.

LLMs can make mistakes. Check important info.

Let's dive into the world of JSON patching benchmarks.

**What is being tested?**

The provided benchmark measures the performance difference between two libraries: `fast-json-patch` and `jsondiffpatch`. Specifically, it tests how quickly each library can compute the differences between two objects (`obj1` and `obj2`) using a JSON patching approach.

**Options compared:**

There are two options being compared:

1. **Fast-JSON-Patch**: This is a lightweight JavaScript library for creating and applying JSON patches. It's designed to be efficient and easy to use.
2. **jsondiffpatch**: This is another popular JavaScript library for computing the differences between two objects using a JSON patching approach.

**Pros and Cons:**

**Fast-JSON-Patch:**

Pros:

* Lightweight and efficient
* Easy to use and integrate into existing projects
* Supports both synchronous and asynchronous usage

Cons:

* May not be as robust or feature-rich as other libraries
* Some users report issues with edge cases or complex data structures

**jsondiffpatch:**

Pros:

* More robust and feature-rich than Fast-JSON-Patch
* Handles more complex data structures and edge cases well
* Supports both synchronous and asynchronous usage

Cons:

* May be larger and slower than Fast-JSON-Patch due to its additional features
* Has a steeper learning curve due to its more extensive API

**Library descriptions:**

1. **Fast-JSON-Patch**: This library provides an efficient way to create and apply JSON patches. It's ideal for simple use cases where only basic patching is required.
2. **jsondiffpatch**: This library takes it a step further by providing a more comprehensive solution for computing the differences between two objects using a JSON patching approach. It's suitable for more complex use cases that require robustness and flexibility.

**Special JavaScript features:**

None mentioned in this benchmark definition.

**Other considerations:**

1. **Data structures:** The benchmark uses simple objects with arrays as values. However, more complex data structures like nested objects or large datasets might require different approaches.
2. **Performance optimizations:** Both libraries provide various optimization techniques, such as caching and memoization, to improve performance. However, these optimizations might not be enabled by default in all configurations.
3. **Integration with other libraries:** The benchmark uses the `fast-json-patch` and `jsondiffpatch` libraries separately. In real-world scenarios, integrating these libraries with other libraries or frameworks might require additional considerations.

**Alternatives:**

Other popular JavaScript libraries for JSON patching include:

1. **JSON Patch**: A simple and lightweight library that provides a standard format for representing patches.
2. **json-patch**: Another popular library that offers a more comprehensive solution for computing the differences between two objects using a JSON patching approach.

When choosing a library, consider factors like performance, feature set, and ease of use to determine which one best fits your project's needs.

Related benchmarks:

Bench fast-json-patch vs jsondiffpatch (version: 0)

Comparing performance of: jsondiffpatch vs FAST JSON-patch

Created: 3 years ago by: Guest

Jump to the latest result

jsondiffpatch

FAST JSON-patch

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):