# bloomfilter [![Crates.io](https://img.shields.io/crates/v/bloomfilter.svg)](https://crates.io/crates/bloomfilter) [![docs.rs](https://docs.rs/bloomfilter/badge.svg)](https://docs.rs/bloomfilter) [![License: ISC](https://img.shields.io/badge/License-ISC-blue.svg)](https://github.com/jedisct1/rust-bloom-filter/blob/master/LICENSE) A simple but fast implementation of the Bloom filter in Rust. The Bloom filter is a a space-efficient probabilistic data structure supporting dynamic set membership queries with false positives. It was introduced by Burton H. Bloom in 1970 [(Bloom, 1970)](https://dl.acm.org/doi/10.1145/362686.362692) and have since been increasingly used in computing applications and bioinformatics. ### Documentation Library documentation with examples is available on [docs.rs](https://docs.rs/bloomfilter). ### Usage Add this to your `Cargo.toml`: ```toml [dependencies] bloomfilter = "1" ``` Here is a simple example for creating a bloom filter with a false positive rate of 0.001 and query for presence of some numbers. ```rust use bloomfilter::Bloom; let num_items = 100000; let fp_rate = 0.001; let mut bloom = Bloom::new_for_fp_rate(num_items, fp_rate); bloom.set(&10); // insert 10 in the bloom filter bloom.check(&10); // return true bloom.check(&20); // return false ``` ### License This project is licensed under the ISC license ([LICENSE](https://github.com/jedisct1/rust-bloom-filter/blob/master/LICENSE) or https://opensource.org/licenses/ISC).