Probz

Zig library for probabilistic data structures.

Data Structures

Bloom Filter
Scalable Bloom Filter
Counting Bloom Filter
Quotient filter
Cuckoo Filter
HyperLogLog
q-digest
t-digest
Top-K
Count-min sketch
Locality–Sensitive Hashing

Adding to a project

Run the following command to add the package to your project.

zig fetch --save git+https://github.com/caiocdcs/probz#main

Then add it as an import in your build.zig file.

const probz = b.dependency("probz", .{
    .target = target,
    .optimize = optimize,
});

exe.root_module.addImport("probz", probz.module("probz"));

Examples

See the examples/ directory for complete working examples of all data structures:

• Bloom Filter - Basic probabilistic membership testing
• Counting Bloom Filter - Bloom filter with removal support
• Scalable Bloom Filter - Auto-scaling for growing datasets
• Quotient Filter - Space-efficient alternative with deletion
• Cuckoo Filter - High-performance filter with excellent deletion support

Running Examples

# Run specific example
zig build run-example -- bloom_filter

# Run all examples
zig build run-examples

# See available examples
zig build --help

Contributing

Feel free to open an issue or make a PR.