B-field, a novel probabilistic key-value data structure (`rust-bfield`)
`rust-bfield` is a Rust implementation of our novel "B-field" data structure, which functions like a Bloom filter for key-value lookups instead of set membership queries. The B-field allows you to compactly store data using only a few bytes per key-value pair. We've successfully utilized it in genomics to associate billions of "k-mers" with taxonomic identifiers while maintaining an efficient memory footprint. But the data structure is also useful beyond computational biology, particularly where you have large unique key domains and constrained value ranges. Available under an Apache 2…
B-field, a novel probabilistic key-value data structure (`rust-bfield`) launched on May 22, 2024 with 153 votes, #354 of 4,539 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
B-field is a Rust data structure that functions like a Bloom filter for key-value lookups, storing data using only a few bytes per pair. It is designed for developers working with large datasets and constrained value ranges. The tool has been successfully applied in genomics to associate billions of k-mers with taxonomic identifiers while maintaining low memory usage. It is released under an Apache 2 license and available on GitHub.
written from the facts on this page · September 2026
From the sources
B-field implementation in Rust. Contribute to onecodex/rust-bfield development by creating an account on GitHub.
In the maker’s words, at launch
`rust-bfield` is a Rust implementation of our novel "B-field" data structure, which functions like a Bloom filter for key-value lookups instead of set membership queries. The B-field allows you to compactly store data using only a few bytes per key-value pair. We've successfully utilized it in genomics to associate…
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Source: Show HN post ↗ · launch text quoted in part
