Space-efficient maplet data structures for approximate key-value mappings - Rust implementation with Python bindings
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Updated
Nov 16, 2025 - Rust
Space-efficient maplet data structures for approximate key-value mappings - Rust implementation with Python bindings
Space-efficient Merkle tree designed for linear appends with witnessing of marked leaves.
Fast Bloom filter using 128-bit MurmurHash3 with double hashing using Kirsch-Mitzenmacher technique. Optimal parameters auto-calculated. Works in Node.js and browsers.
Space-efficient approximate mappings using perfect hash functions. Supports arbitrary function approximation (X→Y) with configurable storage (8/16/32/64-bit) and accuracy trade-offs.
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