pybloom-live: Bloom Filter Implementation

pybloom-live is a Python library providing an efficient implementation of the Bloom filter probabilistic data structure. It also offers a Scalable Bloom Filter, which can dynamically grow its capacity. Currently at version 4.0.0, it is a fork of the original `pybloom` project, with improvements like a consistent tightening ratio. It aims to provide fast, space-efficient membership testing for large datasets where a small probability of false positives is acceptable.