Fast Self-Resizing Bloom Filter Alternative
A compressed, sparse cuckoo filter (see https://www.vldb.org/pvldb/vol11/p1041-breslow.pdf) - AMDComputeLibraries/morton_filter
Fast Self-Resizing Bloom Filter Alternative launched on April 23, 2019 with 5 votes, #1,299 of 3,128 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 7 years on.
Does a similar job
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Morton Filter: Fast, Self-Resizing Alternative to Bloom Filter2019 · github.com · ▲11A compressed, sparse cuckoo filter (see https://www.vldb.org/pvldb/vol11/p1041-breslow.pdf) - AMDComputeLibraries/morton_filter
Cuckoo Filter Implementation in Go, Better Than Bloom Filters2016 · github.com · ▲181Cuckoo Filter implementation in Go, better than Bloom Filters (unmaintained) - irfansharif/cfilter
Cuckoo Filter: Practically better than Bloom filter implemented in Go2017 · github.com · ▲16Cuckoo Filter: Practically better than bloom filter - vedhavyas/cuckoo-filter
Cuckoo Filter in Ruby2017 · github.com · ▲74Pure Ruby Cuckoo Filter Implementation. Contribute to pawandubey/cuckoo_filter development by creating an account on GitHub.
BloomSearch – Keyword search with hierarchical Bloom filters2025 · github.com · ▲66Hey HN! I got nerd-sniped by Bloom Filters this weekend, specifically for searching datasets with high "cardinality" (number of unique items). They're an _amazing_ data structure that, at a fixed size, tracks potential set membership. That means unlike normal b-tree indexes, they don't grow with the number of unique items in the dataset. This makes them great for "needle in a haystack" search (logs, document) as implementations like VictoriaMetrics and Bing's BitFunnel show. I've used them in the past, but they've never been center-stage in my projects. I wanted high cardinality keyword…
GPU Cuckoo Filter – faster queries than Blocked Bloom, with deletionJan 2026 · github.com · ▲32High-Performance GPU Cuckoo Filter. Contribute to tdortman/Cuckoo-GPU development by creating an account on GitHub.
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