StreamHash 1.6.3

StreamHash

StreamHash is a high-performance, memory-efficient streaming hash library for .NET 10+. It provides incremental/streaming implementations of popular hash algorithms and a unified HashFacade API supporting 71 algorithms - all fully implemented and accessible.

🎯 Why StreamHash?

Many popular hash algorithms (MurmurHash, CityHash, SpookyHash, etc.) don't have official streaming APIs. This means hashing a 10GB file requires 10GB of RAM! StreamHash solves this by providing streaming implementations that process data in chunks, using only ~1MB of memory regardless of file size.

✨ Features

• 🚀 Memory Efficient: Hash multi-gigabyte files with minimal memory footprint
• ⚡ High Performance: SIMD-optimized implementations where available
• 🔄 Streaming API: Process data incrementally with Update() and Finalize()
• 📦 Zero Allocations: Hot paths are allocation-free using Span<T>
• 🎯 Unified API: HashFacade provides access to all 71 algorithms through a single interface
• 🔐 Full Crypto Support: All cryptographic algorithms via BouncyCastle integration
• 🧪 Thoroughly Tested: 752+ tests validating against official test vectors
• 📖 Fully Documented: XML docs, examples, and algorithm references

📊 Algorithm Support (All 71 Fully Implemented!)

Native Streaming Implementations (16)

HashFacade Unified API (71 algorithms)

The HashFacade class provides one-shot and streaming access to all 71 algorithms:

Checksums (9)

CRC32, CRC32C, CRC64, CRC-16-CCITT, CRC-16-MODBUS, CRC-16-USB, Adler-32, Fletcher-16, Fletcher-32

Fast Non-Crypto (22)

xxHash32/64/3/128, MurmurHash3-32/128, CityHash64/128, FarmHash64, SpookyHash128, SipHash-2-4, HighwayHash64, MetroHash64/128, wyhash64, FNV-1a (32/64), DJB2, DJB2a, SDBM, Lose Lose

MD Family (3)

MD2, MD4, MD5

SHA-1/2 Family (9)

SHA-0, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512, SHA-512/224, SHA-512/256

SHA-3 & Keccak (6)

SHA3-224, SHA3-256, SHA3-384, SHA3-512, Keccak-256, Keccak-512

BLAKE Family (5)

BLAKE-256, BLAKE-512, BLAKE2b, BLAKE2s, BLAKE3

RIPEMD Family (4)

RIPEMD-128, RIPEMD-160, RIPEMD-256, RIPEMD-320

Other Cryptographic (14)

Whirlpool, Tiger-192, GOST R 34.11-94, Streebog-256, Streebog-512, Skein-256, Skein-512, Skein-1024, Grøstl-256, Grøstl-512, JH-256, JH-512, KangarooTwelve, SM3

🚀 Quick Start

Installation

dotnet add package StreamHash --version 1.6.2

HashFacade API (Recommended)

using StreamHash.Core;

// One-shot hashing
byte[] data = File.ReadAllBytes("file.bin");
byte[] hash = HashFacade.ComputeHash(HashAlgorithm.XxHash64, data);
string hex = HashFacade.ComputeHashHex(HashAlgorithm.Sha256, data);

// Streaming hashing
using var hasher = HashFacade.CreateStreaming(HashAlgorithm.MurmurHash3_128);
hasher.Update(chunk1);
hasher.Update(chunk2);
byte[] result = hasher.FinalizeBytes();

// Algorithm info
var info = HashFacade.GetInfo(HashAlgorithm.Sha256);
Console.WriteLine($"{info.DisplayName}: {info.DigestSize} bytes, Crypto: {info.IsCryptographic}");

Direct Streaming API

using StreamHash.Core;

// Hash a file incrementally
using var hasher = new MurmurHash3_128();
using var stream = File.OpenRead("large-file.bin");

byte[] buffer = new byte[1024 * 1024]; // 1MB buffer
int bytesRead;

while ((bytesRead = await stream.ReadAsync(buffer)) > 0) {
    hasher.Update(buffer.AsSpan(0, bytesRead));
}

UInt128 hash = hasher.Finalize();
Console.WriteLine($"Hash: {hasher.FinalizeHex()}");

📖 Documentation

• 📚 Algorithm Reference
• 🔧 API Documentation
• 📈 Performance Benchmarks

🏗️ Building

# Clone the repository
git clone https://github.com/TheAnsarya/StreamHash.git
cd StreamHash

# Build
dotnet build StreamHash.sln

# Run tests (752+ tests)
dotnet test

# Run benchmarks
dotnet run -c Release --project benchmarks/StreamHash.Benchmarks

📊 Benchmarks (v1.6.2)

Performance on Intel i7-8700K (Coffee Lake), .NET 10.0.2, Windows 10:

Fast Non-Crypto Hashes (1MB data)

Cryptographic Hashes (1MB data)

Whirlpool, Grøstl, and JH significantly optimized with custom implementations, SIMD, and T-tables in v1.6.2

🤝 Contributing

Contributions are welcome! Please read our Contributing Guide for details.

📄 License

This project is released into the public domain under The Unlicense. Do whatever you want with it.

🙏 Acknowledgments

• SMHasher - MurmurHash reference implementation
• CityHash - Google's CityHash
• SpookyHash - Bob Jenkins' SpookyHash
• SipHash - Reference SipHash implementation