* Fixed depth: All proofs have a constant size equal to the depth of the tree. The depth can be configured via a const generic.

* Append-only: Leaves are added sequentially starting from index 0. Once added, a leaf cannot be modified.

* Optimized for Merkle proof retrieval: Intermediate nodes are stored so that proofs can be fetched directly from storage without recomputation, resulting in very fast retrieval times.

* Configurable storage and hash functions: Currently supports Keccak and Poseidon hashers, and in-memory, Sled, RocksDB, and SQLite stores.

The Rust ecosystem already offers several Merkle tree implementations, but rs-merkle-tree is built for a specific use case: append-only data structures such as blockchains, distributed ledgers, audit logs, or certificate transparency logs. It’s particularly optimized for proof retrieval, storing intermediate nodes in a configurable and extensible storage backend so they don’t need to be recomputed when requested.

Also do you have any benchmarks in the repo that would stress the I/O layer for latency too?

Build something useful in Rust and not mention that it's in fact built in Rust.

Difficulty:

Impossible