nandyalu/trailarr v0.5.0 on GitHub

v0.5.0 - August 09 2025

What's New: ✨

Added Intel and AMD GPU hardware acceleration support using VAAPI (Video Acceleration API). 🚀
Individual GPU control settings in UI under Settings > General > Advanced. Can now enable/disable each GPU type (NVIDIA, Intel, AMD) independently when detected. ⚙️
Hardware acceleration priority system: NVIDIA > Intel VAAPI > AMD VAAPI > CPU fallback, ensuring optimal performance based on available hardware. 📊
Enhanced container startup logging showing detected GPU hardware, device paths, and VAAPI capabilities for better troubleshooting. 📝
Added a check for YT-DLP version in Docker Update Check and display if an update is available in Settings > About. 🔄

Bug Fixes: 🐛

Fixed a bug that raised an error when setting Monitor Interval from Web UI. Fixes #273. 🔧
Improved GPU device detection and permission handling to prevent access issues. 🔐
Fixed container user group configuration to ensure proper GPU hardware access. 👤
Fixed a bug that caused video conversion to faile, when subtitles format is set to vtt. 🗒️

Documentation: 📚

Updated hardware acceleration documentation with comprehensive setup instructions for Intel and AMD GPUs using VAAPI. 📖
Added host system setup requirements and user group configuration instructions for optimal GPU performance. 🏠
Enhanced troubleshooting guides with GPU detection commands and permission verification steps. 🔍

Other Changes: ⚡

Refactored container entrypoint scripts into modular componentsfor better maintainability and organization into separate functional components. 🏗️
Enhanced development container configuration with improved GPU support and package management. 🧪
Updated frontend build process and npm dependencies for better performance and security. 📦
Streamlined GPU detection logic with fallback mechanisms and robust error handling. 🔄
Improved GPU group management with automatic user group assignment for hardware acceleration access (render, video, and device-specific groups). 👥
Improved container startup performance through optimized script execution order. ⚡
Enhanced exception logging throughout the application for better debugging and error tracking. 🐛