✅ High-Speed Processing – Optimized bitwise operations and low-level transformations.
✅ Multi-Threaded Execution – Parallel chunk processing for increased speed.
✅ 512-bit Strong Hash Output – Reduces collisions while maintaining efficiency.
✅ Advanced Mixing Function – Inspired by MurmurHash3 for better diffusion.
✅ Bitwise Rotation Optimization – Faster and more secure state transformations.
✅ Lightweight & Scalable – Low memory usage, works on large data sets.
✅ Strong Avalanche Effect – Small input changes drastically modify the hash.
✅ Cross-Platform & Extensible – Works seamlessly in Python, with future support planned for C/Rust.

Clone the repository:

git clone https://github.com/ProgrammerKR/HashX.git

Navigate to the directory:

cd HashX

from hashx import HashX

hasher = HashX()
print(hasher.hash("Hello, World!"))  # Example usage

3F2A9D7B89C4E6A5D12F1E4B67A3C9D5E8F7B2A6C3D1E0F4B6A2D9C7E3F5A5B1

1. Initialization – Hash state consists of 4 unique parts, seeded for strong uniqueness.
2. Chunk Processing – Data is split into 64-bit blocks, processed in parallel threads.
3. Bitwise Mixing & Rotation – Advanced scrambling ensures strong randomness.
4. Finalization Rounds – Enhanced diffusion eliminates weak patterns.
5. Output Generation – 512-bit hexadecimal hash is returned.

HashX has been tested against SHA-256, BLAKE3, xxHash, and MurmurHash3 for speed and efficiency.

For detailed benchmark results, check the full report:
📊 Benchmark Results

• C and Rust Implementation for ultra-fast performance.
• GPU Acceleration using CUDA/OpenCL.
• Cryptographic Security Mode for password hashing.

📢 Have questions or feedback?

• 💬 Join discussions here
• 🐛 Found a bug? Report here

Contributions are welcome! Feel free to fork the repo, submit issues, or create pull requests.

1. Fork the Repository (Click the "Fork" button at the top of the repo).
2. Clone your Fork

   git clone https://github.com/your-username/HashX.git

3. Create a New Branch

   git checkout -b improve-docs

4. Make Changes (Edit README.md and add documentation updates).
5. Commit & Push

   git add README.md
   git commit -m "Improved documentation & usage examples"
   git push origin improve-docs

6. Create a Pull Request (Go to the original repo and submit a PR).

This project is open-source and available under the MIT License.