The-Bloom-filter

The-Bloom-filter

Gagniuc

This example implements a Bloom filter in Python, a probabilistic data structure for fast membership testing. Items are added using multiple hash functions that set bits in a fixed-size array. Membership checks return definitely not present or possibly present, with false positives possible. The source code is part of the 127 algorithms collection.

22 Stars
0 Forks
22 Watchers
Python Language
mit License
98.1 SrcLog Score
Cost to Build
$16.0K
Market Value
$24.5K

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1 data points  ·  2026-04-07 → 2026-04-07
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What is the Gagniuc/The-Bloom-filter GitHub project? Description: "This example implements a Bloom filter in Python, a probabilistic data structure for fast membership testing. Items are added using multiple hash functions that set bits in a fixed-size array. Membership checks return definitely not present or possibly present, with false positives possible. The source code is part of the 127 algorithms collection.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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