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wtf is gohashcompare?

audriusbutkevicius/gohashcompare — explained in plain English

Analysis updated 2026-07-03 · repo last pushed 2016-07-09

1GoAudience · developerComplexity · 2/5DormantSetup · moderate

TL;DR

A simple Go benchmarking tool that measures how fast different cryptographic hashing algorithms run on your computer, then reports which ones are fastest on your hardware.

Mindmap

mindmap
  root((repo))
    What it does
      Benchmarks hash algorithms
      Measures hashing speed
      Reports performance data
    Tech stack
      Go
      Cryptographic hashing
    Use cases
      Choose best hash algorithm
      Compare hardware performance
      Crowdsourced benchmark sharing
    Audience
      Developers
      System administrators
      Performance enthusiasts

Code map

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Why would anyone build with this?

REASON 1

Compare hashing algorithm speeds on your hardware to choose the fastest one for your project.

REASON 2

Benchmark cryptographic hash performance across different machines to build a collective dataset.

REASON 3

Learn how to write Go benchmarking code for cryptographic operations.

What's in the stack?

Go

How it stacks up

audriusbutkevicius/gohashcompareaegrail/aegrail-engineanas727189/message-broker-system
Stars111
LanguageGoGoGo
Last pushed2016-07-09
MaintenanceDormant
Setup difficultymoderatehardmoderate
Complexity2/55/53/5
Audiencedeveloperops devopsdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · moderate Time to first run · 30min

Requires setting up a Go workspace with the correct directory structure and GOPATH configuration.

No license information is provided, so usage rights are unclear.

Wtf does this do

gohashcompare is a benchmarking tool that measures how fast different cryptographic hashing algorithms perform on your computer. In simple terms, it runs a series of speed tests to see how quickly your machine can process data through various security-focused hashing functions, then reports the results. At a high level, the tool is built in Go and runs a set of standardized tests across multiple hashing algorithms. You set it up by downloading the source code into a specific directory structure, setting your Go workspace path, and executing the main program. It then runs the benchmarks and gives you performance data showing which algorithms are fastest on your hardware. This would be useful for developers or system administrators who need to choose a hashing algorithm for a project and want real-world performance data from actual hardware rather than theoretical specs. For example, if you're building a system that needs to hash large volumes of data quickly, you'd want to know which algorithm gives you the best speed-to-security tradeoff. The project was also used to crowdsource benchmark results across different machines, with results being shared on a community forum. The project is quite minimal in scope. The README doesn't go into detail about which specific hashing algorithms are tested, what output format the benchmarks produce, or how results are formatted for sharing. It's essentially a straightforward utility designed to answer one question: how do different cryptographic hashes compare in speed on a given machine? Given the single star and the reference to a community forum for sharing results, this appears to be a small, purpose-built tool rather than a maintained product. It serves as a practical example of how to benchmark cryptographic operations in Go while contributing to a collective dataset of hardware performance across different systems.

Yoink these prompts

Prompt 1
Using gohashcompare as inspiration, write a Go benchmarking tool that compares the speed of MD5, SHA-256, and SHA-512 hashing algorithms on large files and prints a results table.
Prompt 2
Based on gohashcompare, create a Go program that runs cryptographic hashing benchmarks and outputs results in CSV format so I can compare performance across multiple machines.
Prompt 3
Adapt the gohashcompare approach to benchmark hashing algorithms in Go and generate a human-readable report showing throughput in megabytes per second for each algorithm.

Frequently asked questions

wtf is gohashcompare?

A simple Go benchmarking tool that measures how fast different cryptographic hashing algorithms run on your computer, then reports which ones are fastest on your hardware.

What language is gohashcompare written in?

Mainly Go. The stack also includes Go.

Is gohashcompare actively maintained?

Dormant — no commits in 2+ years (last push 2016-07-09).

What license does gohashcompare use?

No license information is provided, so usage rights are unclear.

How hard is gohashcompare to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is gohashcompare for?

Mainly developer.

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