Libraries tagged by probabilistic

Bloom filter - a space-efficient probabilistic data structure for PHP 5.4+

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Algo KIT - Probabilistic data structures and algorithms for large-scale data processing in PHP

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Lightweight PHP micro-library for probabilistic and deterministic code execution — feature flags, A/B testing, gradual rollouts and sampling.

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Bloom filter implementation for Laravel based on Redis

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PHP client for RedisBloom module using phpredis extension

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Algo KIT - Probabilistic data structures and algorithms for large-scale data processing in PHP

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Pure-PHP probabilistic data structures: Bloom Filter, Counting Bloom Filter, Cuckoo Filter, Count-Min Sketch, and HyperLogLog. Zero dependencies.

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Laravel package integration for probabilistic-php — Bloom Filter, Counting Bloom Filter, Cuckoo Filter, Count-Min Sketch, and HyperLogLog via the service container and a Facade.

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Symfony bundle integration for probabilistic-php — Bloom Filter, Counting Bloom Filter, Cuckoo Filter, Count-Min Sketch, and HyperLogLog as configured services.

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RedisBloom wrapper with auto-rotation, diagnostics, and metrics for Laravel

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A PHP implementation of the HyperLogLog algorithm.

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Probabilistic Data Structures to efficiently analyze and mine big datasets

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A counting bloom filter with probabilistic deletion capabilities also allowing a risky deletion which may lead to false negatives if not carefully used.

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bm25 is an algorithm used to evaluate the correlation between search terms and documents. It is an algorithm based on a probabilistic retrieval model.

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Doppar Bloom is a high-performance package for probabilistic set membership testing, providing Bloom filter implementations with hashing algorithms

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