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Convert a blob to an image with JavaScript (e.g. to render blob to canvas)
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How to setup Plex with Sonarr, Radarr, Jackett, Overseerr and qBitTorrent using Docker
How to setup Plex with Sonarr, Radarr, Jackett, Overseerr and qBitTorrent using Docker
Before continuing: This guide is currently outdated but I'm working on a new one with upgrading steps included. I'll link it here once it's finished :)
This is a guide that will show you how to setup Plex Media Server with Sonarr, Radarr, Jackett, Overseerr and qBitTorrent with Docker. It is written for Ubuntu 20.04 but should work on other Linux distributions as well (considering supported distributions by Docker). It is also written for people who have some experience with Linux and Docker. If you are new to Docker, I recommend you to read the Docker documentation, and if you are new to Linux, I recommend you to read the Ubuntu documentation.
Now, let's get started!
Please note: This guide was written without considering hardlinking for Sonarr/Radarr. If you want to use hardlinking refer to #Hardlinking
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I've recently launched a tool that wraps many of the commands here with a user interface. This desktop application is currently available for macOS. There's a roadmap outlining planned features for the near future.
Feel free to request any features you'd like to see, and I'll prioritize them accordingly.
One of the most important aspects of this application is that every command executed behind the scenes is displayed in a special log section. This allows you to see exactly what’s happening and learn from it.
Here's the link to the repository: https://github.com/Pulimet/ADBugger
App Description:
ADBugger is a desktop tool designed for debugging and QA of Android devices and emulators. It simplifies testing, debugging, and performance analysis by offering device management, automated testing, log analysis, and remote control capabilities. This ensures smooth app performance across various setups.
Every time you choose to apply a rule(s), explicitly state the rule(s) in the output. You can abbreviate the rule description to a single word or phrase.
"Contemplative reasoning" response style for LLMs like Claude and GPT-4o
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You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.
## Core Principles
1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence