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hash-it vs object-hash vs hash-sum
(version: 0)
Comparing performance of:
hash-it vs object-hash vs hash-sum
Created:
2 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script type="module"> import hashSum from 'https://cdn.jsdelivr.net/npm/hash-sum@2/+esm' window.hashSum = hashSum </script> <script type="module"> import hashIt from 'https://cdn.jsdelivr.net/npm/hash-it@6/+esm' window.hashIt = hashIt </script> <script type="module"> import objectHash from 'https://cdn.jsdelivr.net/npm/object-hash@3/+esm' window.objectHash = objectHash </script>
Script Preparation code:
var context1 = { title: 'fish', position: 1 } var context2 = { title: 'fish', position: 1 }
Tests:
hash-it
hashIt(context1) === hashIt(context2)
object-hash
objectHash(context1) === objectHash(context2)
hash-sum
hashSum(context1) === hashSum(context2)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
hash-it
object-hash
hash-sum
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
11 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36
Browser/OS:
Chrome 137 on Windows
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Embed Benchmark Result
Test name
Executions per second
hash-it
1549768.6 Ops/sec
object-hash
11819.9 Ops/sec
hash-sum
681573.8 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks. **What is being tested?** The provided JSON represents a benchmark that tests three different approaches to generate a hash (a unique numerical representation) from an object: 1. **hashIt**: A library function `hashIt` that generates a hash for a given object. 2. **objectHash**: Another library function `objectHash` that generates a hash for a given object. 3. **hashSum**: A third library function `hashSum` that combines two hashes using addition to generate a single hash value. **Options compared** The benchmark compares the performance of each of these three approaches on the same input objects: two identical objects with properties `title` and `position`. **Pros and Cons of each approach:** * **hashIt**: Pros: + Efficient use of memory (i.e., no additional data structures are created). + Simple implementation. Cons: + May not be suitable for very large inputs due to its simple implementation. * **objectHash**: Pros: + Robust and well-maintained library with a wide range of supported input formats. Cons: + Creates an additional hash value, which may increase memory usage. + May be slower than `hashIt` due to the overhead of creating an object and calling its methods. * **hashSum**: Pros: + Combines two hashes using addition, which can result in a more robust representation of the input data. Cons: + Requires additional library dependencies (`hash-sum`). + May have slower performance compared to `hashIt` or `objectHash`. **Library descriptions:** 1. **hashIt**: A JavaScript library for generating hash values from objects. It uses a combination of bitwise operations and bit manipulation to create a compact hash value. 2. **objectHash**: A JavaScript library that generates hash values from objects using a variety of algorithms, including the `JSON.stringify` method. This library is designed to support a wide range of input formats. **Special JS feature or syntax:** None mentioned in this benchmark. **Other alternatives:** If you need to generate hashes for your own use cases, consider exploring other libraries and approaches, such as: 1. **Crypto**: A built-in JavaScript module that provides cryptographic primitives, including hash functions like SHA-256. 2. **hash.js**: Another popular JavaScript library for generating hash values from objects. 3. **Simplicity Hashing Algorithms**: Various simple hashing algorithms, like FNV-1a or DJB2, which can be implemented using a few lines of code. Keep in mind that the choice of hash function or library ultimately depends on your specific requirements and constraints (e.g., security, performance, memory usage).
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