{"library":"pybloom-live","type":"library","category":null,"description":"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.","language":"python","status":"active","version":"4.0.0","tags":["data structure","bloom filter","probabilistic","membership testing","scalable"],"install":[{"cmd":"pip install pybloom-live","imports":["from pybloom_live import BloomFilter","from pybloom_live import ScalableBloomFilter"]}],"homepage":null,"github":"https://github.com/joseph-fox/python-bloomfilter","docs":null,"changelog":null,"pypi":"https://pypi.org/project/pybloom-live/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":3,"avg_import_s":0.01,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/pybloom-live/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}