Benchmark: hash-sum vs object-hash

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/hash-sum@2.0.0/hash-sum.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/object-hash@2.0.3/dist/object_hash.min.js"></script>

Script Preparation code:

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

Tests:

Sum
sum(context1) === sum(context2)
Object-hash
objectHash(context1) === objectHash(context2)

Historical Performance Data aggregated from 112 community runs

Desktop Results:

Chrome 89 runs

Sum

437K/s

Object-hash

22K/s

Fastest: Sum (19.7x faster)

View exact numbers

✓ Sum: 437,121 ops/sec
• Object-hash: 22,225 ops/sec

Firefox 17 runs

Sum

328K/s

Object-hash

12K/s

Fastest: Sum (28.3x faster)

View exact numbers

✓ Sum: 328,400 ops/sec
• Object-hash: 11,602 ops/sec

Safari 6 runs

Sum

582K/s

Object-hash

14K/s

Fastest: Sum (41.3x faster)

View exact numbers

✓ Sum: 581,952 ops/sec
• Object-hash: 14,079 ops/sec

Results show median performance across all community submissions. Run this benchmark yourself to verify on your device.

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Sum
Object-hash

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 4 months ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36

Browser/OS: Chrome 147 on Mac OS X 10.15.7

View result in a separate tab

Sum

457K/s

Object-hash

24K/s

View exact numbers

Test name	Executions per second
✓ Sum	456,894 Ops/sec
Object-hash	23,901 Ops/sec

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 understand what's being tested in this benchmark.

**Benchmark Overview**

The benchmark compares two JavaScript libraries: `hash-sum` and `object-hash`. The test aims to measure which library is faster for calculating hash sums and object hashes.

**Options Compared**

Two options are being compared:

1. **Hash Sum**: Uses the `hash-sum` library to calculate the sum of a string (in this case, the title and position of an object).
2. **Object Hash**: Uses the `object-hash` library to calculate the hash of an object (again, the title and position).

**Pros and Cons**

Here's a brief overview of each option:

### Hash Sum

Pros:

* Simple and straightforward implementation
* Fast execution times due to optimized string hashing algorithms
* Well-documented and widely used in various JavaScript libraries and frameworks

Cons:

* May not be suitable for large datasets or complex objects, as it relies on a simple hash function
* Limited control over the hashing process, which might lead to collisions or inconsistencies

### Object Hash

Pros:

* More robust and flexible implementation that can handle complex objects with nested properties
* Provides more detailed and informative hashes, which can be useful for data integrity checks and validation
* Can be easily customized and extended through plugins or modifications

Cons:

* Slower execution times compared to the `hash-sum` library due to the added complexity of object hashing
* May require more memory and processing power for large datasets or intricate objects

**Library Descriptions**

1. **hash-sum**: A lightweight JavaScript library designed specifically for calculating hash sums of strings. It provides an optimized string hashing algorithm that is fast and reliable.
2. **object-hash**: A JavaScript library that generates hashes for complex objects, including nested properties and arrays. Its implementation is more sophisticated than `hash-sum`, but this comes at the cost of slower execution times.

**Special JS Feature or Syntax**

There doesn't appear to be any special JavaScript features or syntax used in these benchmarks. The code snippets provided are straightforward and follow standard JavaScript practices.

**Alternative Approaches**

If you were to write a similar benchmark, you could consider the following alternatives:

1. **Use a different library**: Explore other libraries that offer hash sum or object hash functions, such as `js-sha256` or `crypto-js`.
2. **Implement custom hash functions**: Develop your own hash functions using well-established algorithms like SHA-256, BLAKE2, or CityHash.
3. **Test with different data sets**: Use more complex or large datasets to test the performance and robustness of each library.
4. **Compare with other JavaScript engines**: Measure the performance differences between the `hash-sum` and `object-hash` libraries across various JavaScript engines, such as V8 (Chrome), SpiderMonkey (Firefox), or WebKit (Safari).

By exploring these alternatives, you can gain a deeper understanding of the trade-offs involved in choosing the right hash sum or object hash library for your specific use case.

hash-sum vs object-hash (version: 0) Benchmark.js

Comparing performance of: `Sum vs Object-hash`

Created: 6 years ago by: Registered User

Go to the latest result

Sum

Object-hash

Historical Performance Data aggregated from 112 community runs

Desktop Results:

Chrome 89 runs

Firefox 17 runs

Safari 6 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

hash-sum vs object-hash (version: 0) Benchmark.js

Comparing performance of: Sum vs Object-hash

Created: 6 years ago by: Registered User

Go to the latest result

Sum

Object-hash

Historical Performance Data aggregated from 112 community runs

Desktop Results:

Chrome 89 runs

Firefox 17 runs

Safari 6 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Related benchmarks

Comparing performance of: `Sum vs Object-hash`