stats

Why we included this project

Go developers who need statistical functions inside their own services often end up reimplementing the mean, median, and standard deviation by hand. This package provides a tested set of those routines, plus less common ones like autocorrelation, linear regression, percentiles, and distance metrics, so you can use them directly in a data pipeline or analytics endpoint. With no external dependencies, it fits naturally into small, self-contained Go services where keeping the module graph lean matters. The API is straightforward: load your data into a Float64Data slice and call the function you need, with clear error values for empty or malformed input. Teams building monitoring, financial, and scientific tooling in Go will find it a convenient building block rather than a full analytics platform.