Tree/merkle_tree library

🌳 Merkle Tree Implementation for Blockchain and Distributed Systems

A production-ready, enterprise-level implementation of Merkle trees that provides efficient data integrity verification, proof generation, and batch validation capabilities. This implementation is optimized for high-performance blockchain applications, distributed databases, and content-addressable storage systems.

Features:

  • Generic type support for any hashable data type
  • Configurable hash functions with SHA-256 as default
  • Efficient proof generation and verification (O(log n) complexity)
  • Batch operations for multiple leaf updates
  • Memory-optimized sparse tree representation
  • Thread-safe operations for concurrent environments
  • Comprehensive error handling and validation
  • Support for custom hash functions and salt values
  • Built-in performance monitoring and metrics

Time Complexity:

  • Tree construction: O(n)
  • Proof generation: O(log n)
  • Proof verification: O(log n)
  • Leaf update: O(log n)
  • Batch update: O(k * log n) where k is batch size

Space Complexity: O(n) for storage, O(log n) for proof generation

Example:

final merkleTree = MerkleTree<String>.fromList(
  ['block1', 'block2', 'block3', 'block4'],
  hashFunction: SHA256.hash,
);
final proof = merkleTree.generateProof(2);
final isValid = merkleTree.verifyProof('block3', proof);

Classes

MerkleNode<T>
Merkle Tree Node with generic type support
MerkleProof<T>
Merkle Proof structure for efficient verification
MerkleTree<T>
Production-ready Merkle Tree implementation