A Go implementation of TensorFlow's streaming quantiles estimator
Optimal Quantile Approximation in Streams. Contribute to axiomhq/quantiles development by creating an account on GitHub.
A Go implementation of TensorFlow's streaming quantiles estimator launched on August 15, 2018 with 98 votes, #355 of 2,619 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 8 years on.
In plain words
This is a Go library that implements TensorFlow's streaming quantiles estimator, allowing developers to calculate statistical quantiles from data streams without storing all values in memory. It's designed for engineers building data processing systems who need efficient quantile computation. The implementation brings TensorFlow's algorithm to the Go language, making it accessible to Go-based applications that require this specialized statistical functionality.
written from the facts on this page · September 2026
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