#搜索#适合静态网站的全文搜索引擎,使用Rust和Wasm
#算法刷题#2021年最新总结 500个常用数据结构,算法,算法导论,面试常用,大厂高级工程师整理总结
Probabilistic data structures for processing continuous, unbounded streams.
翻译 - 用于处理连续无界流的概率数据结构。
Redis for humans. 🌎🌍🌏
The FASTEST QUALITY hash function, random number generators (PRNG) and hash map.
翻译 - 通过了SMHasher,BigCrush和practrand的理想快速哈希函数和随机数生成器。
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
Cuckoo Filter implementation in Go, better than Bloom Filters (unmaintained)
JS implementation of probabilistic data structures: Bloom Filter (and its derived), HyperLogLog, Count-Min Sketch, Top-K and MinHash
Bloom filter for Scala, the fastest for JVM
🔬 Assemble large genomes using short reads
LUA Redis scripts for a scaling bloom filter
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
fastfilter: Binary fuse & xor filters for Zig (faster and smaller than bloom filters)
A fast, simple and lightweight Bloom filter library for Python, implemented in Rust.
Hashing-function agnostic Cuckoo filters for Redis
Very fast, high-quality hash function, discrete-incremental and streamed hashing-capable (non-cryptographic, inline C/C++) 26GB/s + PRNG