Bloom Filter for Javascript
JS implementation of probabilistic data structures: Bloom Filter (and its derived), HyperLogLog, Count-Min Sketch, Top-K and MinHash
This package provides support for the [RedisBloom](https://redis.io/docs/data-types/probabilistic/) module, which adds additional probabilistic data structures to Redis.
Ability to test bloom filters for ethereum.
A bloom filter suitable for use in Bitcoin Connection Bloom Filtering as part of [BIP37](https://github.com/bitcoin/bips/blob/master/bip-0037.mediawiki).
Fast bloom filter in JavaScript.
PixiJS filter to render Bloom Filter (with highlight) effect
A bloom filter implementation that is serialisable to JSON and compatible between both Ruby and Javascript. Very useful when needing to train a bloom filter in one language and using it in the other.
PixiJS filter to apply a simple bloom effect
Fast bloom filter in JavaScript.
This package provides support for the [ValkeyBloom](https://valkeybloom.io) module, which adds additional probabilistic data structures to Valkey. It extends the [Node Valkey client](https://github.com/firassziedan/node-valkey) to include functions for e
JS implementation of probabilistic data structures: Bloom Filter (and its derived), HyperLogLog, Count-Min Sketch, Top-K and MinHash
Fastest Bloom Filter on NPM. Powered by WASM, written in TypeScript & C.
No description provided.
Array manipulation, ordering, searching, summarizing, etc.
Wrapping the [`growable-bloom-filter`](https://crates.io/crates/growable-bloom-filter) crate using [`wasm-pack`](https://rustwasm.github.io/docs/wasm-pack/).
This module is crafted for dApp development and various blockchain operations that seamlessly unfold offline
TypeScript definitions for bloomfilter
[](https://travis-ci.org/bbondy/bloom-filter-cpp)
Valkey/Redis client with direct NAPI bindings based on valkey-glide core
Lightweight free email domain checker via Bloom filter
Fetch and execute lookups on Blowfish blocklists
Space efficient bloom filter based on the bloom-filters npm package.
Bloom Filter using the FNV hash function