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…
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
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 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 license. We hope it proves useful, and we're happy to answer any questions!
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