DR Check v1.1.0 - The Performance Update 🚀

[nixternal]

This release introduces a major architectural overhaul focused on speed and efficiency, enabling fast analysis of large music libraries while maintaining a low memory footprint.

Major Highlights

⚡ Parallel Processing Engine

DR Check now leverages multi-core CPUs to analyze multiple files concurrently.

• Up to 4x faster scans for large music libraries.
• Integrated ProcessPoolExecutor for high-performance batch processing.

🧠 Smart Memory Management

• Memory Leak Fix: Raw audio data is now stripped immediately after analysis, ensuring RAM usage remains constant regardless of the number of tracks scanned.
• O(N) Algorithms: Optimized the core DR14 calculation using np.partition, making the analysis of long tracks and high-resolution files significantly faster.

🤖 Smart CLI Experience

• Auto-Detection: The tool now automatically chooses between sequential and parallel modes. It uses sequential mode for small jobs (<20 tracks) to avoid overhead, and parallel mode for larger scans.
• Worker Configuration: New -j/--workers flag to manually tune concurrency levels.

What's New

• New parallel.py module for concurrent execution.
• Optimized analysis.py for algorithmic efficiency.
• Dynamic versioning in HTML reports.
• Faster album art extraction logic.
• 15 new test cases (bringing the total to 81 passing tests).

How to Install

pip install drcheck
# or via uv
uv tool install drcheck

<hr /><em>This discussion was created from the release <a href='https://github.com/nixternal/drcheck/releases/tag/v1.1.0'>DR Check v1.1.0 - The Performance Update 🚀</a>.</em>