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Life & fun · October 21, 2021

Go implementation of Welford's algorithm for weighted variance

Go implementation of variance's method for one-pass variance computation with D. H. D. West improved methods which features merging of several multiple sets of statistics and adding weighted values. - axiomhq/variance

Go implementation of Welford's algorithm for weighted variance launched on October 21, 2021 with 11 votes, #1,241 of 2,933 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 5 years on.

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In plain words

This is a Go implementation of Welford's algorithm designed to calculate weighted variance efficiently. It is intended for developers who need to compute variance in Go projects, particularly those requiring incremental or streaming variance calculations with weighted data points. The implementation provides a numerical method that avoids storing all data in memory, making it useful for processing large datasets or real-time data streams.

written from the facts on this page · September 2026

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