Benchmark: hash-sum vs lodash.isEqual

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/hash-sum@2.0.0/hash-sum.min.js"></script>
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var context1 = {
  title: 'fish',
  position: 1
}

var context2 = {
  title: 'fish',
  position: 1
}

Tests:

Sum
sum(context1) === sum(context2)
Lodash
_.isEqual(context1, context2)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Sum
Lodash

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Let's dive into the world of MeasureThat.net and explore the JavaScript microbenchmarking.

**Benchmark Overview**

MeasureThat.net allows users to create and run JavaScript microbenchmarks, which means we're focusing on measuring the execution time of small code snippets to compare different approaches or implementations. In this case, we have two test cases: `Sum` and `Lodash`.

**Test Case 1: Sum**

The first test case is defined in the "Benchmark Definition" section:
```json
"sum(context1) === sum(context2)"
```
This benchmark compares the execution time of the `hash-sum` library to a hypothetical implementation. The `context1` and `context2` variables are predefined JSON objects with identical properties, but not identical instances.

**hash-sum Library**

The `hash-sum` library is a fast and efficient way to compute the sum of an object's property values using hashing. It's designed to be lightweight and performant, making it suitable for use cases where speed is critical.

**Pros:**

* Fast execution time due to hashing
* Lightweight and compact implementation

**Cons:**

* May require additional setup or configuration (e.g., defining hash functions)
* Not as flexible as other approaches (e.g., recursive or iterative methods)

**Test Case 2: Lodash**

The second test case is defined in the "Benchmark Definition" section:
```json
_.isEqual(context1, context2)
```
This benchmark compares the execution time of the `lodash.isEqual` function to a hypothetical implementation. The `context1` and `context2` variables are identical JSON objects.

**Lodash Library**

Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks like array manipulation, string processing, and more. In this case, we're using the `isEqual` function to compare two objects for equality.

**Pros:**

* Robust implementation with many built-in tests and checks
* Flexible and adaptable to different use cases

**Cons:**

* May be slower than specialized libraries like hash-sum due to overhead from additional functionality
* Larger binary size compared to hash-sum

**Special JS Feature/Syntax**

There is no special JavaScript feature or syntax used in this benchmark. The code snippets are straightforward and standard ECMAScript.

**Other Alternatives**

If you're looking for alternative approaches or libraries, here are a few options:

* **V8's built-in object sum**: Some modern browsers like Chrome (which uses V8 as its engine) have built-in functions to compute the sum of an object's property values. This approach is likely to be very fast but might not be compatible with older browsers.
* **Recursion-based implementation**: You could implement a recursive function to compute the sum of an object's property values. While this approach can be elegant, it may not be as efficient as hashing-based libraries like hash-sum due to the overhead from function calls and stack traversals.

Overall, the choice between `hash-sum` and `lodash.isEqual` depends on your specific use case, performance requirements, and personal preference. MeasureThat.net provides a great platform for comparing different approaches and finding the most suitable solution for your needs.

Related benchmarks:

hash-sum vs lodash.isEqual (version: 0)

Comparing performance of: Sum vs Lodash

Created: 5 years ago by: Guest

Jump to the latest result

Sum

Lodash

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):