Bloom filter: A Probabilistic data structure
Project Links
Meta
Author: Jay Baird
Classifiers
Intended Audience
- Developers
License
- OSI Approved :: MIT License
Programming Language
- Python
- Python :: 3
Operating System
- OS Independent
Topic
- Utilities
- Database :: Database Engines/Servers
- Software Development :: Libraries :: Python Modules
This bloom filter is forked from pybloom, and its tightening ratio is changed to 0.9, and this ration is consistently used. Choosing r around 0.8 - 0.9 will result in better average space usage for wide range of growth, therefore the default value of model is set to LARGE_SET_GROWTH. This is a Python implementation of the bloom filter probabilistic data structure. The module also provides a Scalable Bloom Filter that allows a bloom filter to grow without knowing the original set size.
4.0.0
Oct 15, 2022
3.1.0
Jun 24, 2021
3.0.0
Jul 22, 2018
2.3.2
Apr 10, 2018
2.3.1
Aug 11, 2017
2.2.0
Dec 11, 2016
2.1.0
Feb 13, 2016
Files in release
No dependencies