audriusbutkevicius/gohashcompare

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.