There are 3 repositories under bloomfilter topic.
Cuckoo Filter go implement, better than Bloom Filter, configurable and space optimized 布谷鸟过滤器的Go实现,优于布隆过滤器,可以定制化过滤器参数,并进行了空间优化
A fast bloom filter implemented by Rust for Python! 10x faster than pybloom!
Yet another Bloomfilter implementation in Go, compatible with Java's Guava library
A simple implementation of Bloom Filter and Scalable Bloom Filter for Python 3.
A pure, simple and fast pythonic bloom filter
Scalable Bloom Filter implemented in Python
Bloom filter lib for Arduino compatible microcontrolers
Yet another Bloomfilter implementation in Python, compatible with Java's Guava library
Examples for Java, include: flink, kafka, kafka-stream, flink, bloom-filter, netty and so on
An easy to use real time file synchronization application built using Python
A scalable bloom filter service in Golang
python bloom filter based on redis
Compact cache-friendly filter, for small number of elements.
🧹🦷 aKmerBroom: Ancient oral DNA decontamination using Bloom filters on k-mer sets
Exposing Cassandra Bloom filter searching to the Client. Code provides Bloom filter UDF, Client side multidimensional Bloom filter (MBF) index, and server side MBF secondary index implementation.
go-bloomfilter is implemented by Golang which supports in-memory and Redis. Moreover, it’s available for a duration-based rotation.
bloomfilter, support adjusting number of entries, error ratio.
BloomList built on bloomfilter support callback to double check.
Light Weight C++ Bloom Filter Library
Algorithms + Data Structures = Programs
This project provides tools to simulate several access strategies for distributed caching. The simulator considers a user who is equipped by several caches, and receives from them periodical updates about the cached content. These updates are not totally accurate. The user has to select which caches to access, to obtain the requested datum in the lowest price and maximum certainty possible.
This is a simulator for access strategies for distributed caching. The simulator considers a user who is equipped by several caches, and receives from them periodical updates about the cached content. The problem and algorithms implemented here are detailed in the paper: I. Cohen, G. Einziger, R. Friedman, and G. Scalosub, “Access Strategies for Network Caching”, IEEE/ACM Transactions on Networking, 29(2), pp. 609-622, 2021.
C# library implementation of bloom filters