{"repo":"BotBlake/jellybench_py","free":true,"listed":false,"github":"https://github.com/BotBlake/jellybench_py","clone":"git clone https://github.com/BotBlake/jellybench_py.git","description":"Client for the Jellyfin Hardware Survey Server (https://hwa.jellyfin.org/). Benchmarks hardware performance for simultaneous ffmpeg transcoding, enabling detailed comparisons and insights for optimizing Jellyfin setups.","language":"Python","stars":27,"topics":["benchmark","ffmpeg","ffmpeg-python","ffmpeg-script","gpu-acceleration","hardware","hardware-acceleration","statistics","amd-gpu","jellyfin"],"license":"GPL-3.0","category":"media-processing","readme_excerpt":"jellybench py jellybench py is a benchmarking tool designed to measure the performance of hardware when handling simultaneous ffmpeg transcoding processes. This tool tests how many parallel ffmpeg transcoding processes a system can manage, providing detailed insights into hardware performance. The benchmark results can be uploaded to the central Jellyfin Hardware Survey Server, allowing users to compare their hardware's performance with other systems. This facilitates easy visualization of the results and serves as a valuable resource for Jellyfin users looking to optimize their transcoding capabilities. jellybench py QuickStart Guide [!WARNING] This is an Alpha Version of the Client. It has not been properly tested, nor implemented for all Platforms yet! Use at your own risk. [!NOTE] This hardware benchmark will use all system resources available. [!NOTE] The Benchmark will take multiple hours to finish. Make sure to run it, when the system is not used. [!WARNING] By default the client will use the official Jellyfin Hardware Survey Server on . The script will not upload any Test results without separate user confirmation. It will only load the tests and test files based on your Operating System and Architecture. Software Requirements jellybench py is built as a python module via uv. Therefore you need to have uv installed on your system. To install uv, follow the official install guide. Installing jellybench py 1. Clone the GitHub Repository git clone https://github.com/BotB","default_branch":null,"files":null,"tree":[],"storefront":"/r/BotBlake","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/BotBlake/jellybench_py/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}