pyprobables
JSON →pyprobables is a pure-Python library offering implementations of common probabilistic data structures like Bloom filters, Count-Min sketches, Cuckoo filters, and Quotient filters. It provides memory-efficient ways to perform operations such as set membership testing and approximate frequency counting. The library is actively maintained, with its current version being 0.7.0, and receives regular updates including new features, bug fixes, and Python version support changes.
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Resources
API endpoints
full doc /v1/registry/pyprobables
install /v1/registry/pyprobables/install
compatibility /v1/registry/pyprobables/compatibility