Community Apps

auto-m4b is a docker container that will watch a folder for new books, auto convert mp3 books to chapterized m4b, and move all m4b books to a specific output folder. This output folder is where the beets.io audible plugin will look for audiobooks and use the audible api to perfectly tag and organize your books. See: https://github.com/seanap/beets-audible TLDR: watches a /recentlyadded folder, all multifile m4b/mp3/m4a/ogg books will be converted to a chapterized m4b and saved to an /untagged folder Github: https://github.com/seanap/auto-m4b Dockerhub: https://hub.docker.com/r/seanap/auto-m4b Limitations: - The chapters are based on the mp3 tracks. A single mp3 file will become a single m4b with 1 chapter, also if the mp3 filenames are garbarge then your m4b chapternames will be terrible as well. See section on Chapters for how to manually adjust. - Right now book folders with nested subfolders will be moved to a /fix folder for manual filename/folder fixing. It should be possible to modify the auto-m4b-tool.sh script to automatically prefix the subfoldername and move the files up a level, let me know if you know how to do this. - The conversion process actually strips some tags and covers from the files, which is why you need to use a tagger (mp3tag or beets.io) before adding to Plex.

binge watching for plex In order to send command line options to this container you need to enable advanced view, and edit the Post Arguments, adding your arguments after the word watch, and before the double-quote

Invitarr is a chatbot that invites discord users to plex. You can also automate this bot to invite discord users to plex once a certain role is given to a user or the user can also be added manually.

Membarr is a discord bot that invites discord users to Plex and/or Jellyfin. Manually create users and invite server members with a single command, or let Membarr automatically add server members with a certain role.

This Tools provides a way to keep your watched history synced FROM Plex Server To Trakt.tv (IT will not do history prior to tool Installation) it uses WebHooks to Accomplish this so a PLEX PASS Subscription is needed to use WebHooks. Trakt.tv has a build in tool for the same thingbut requires Trakt.tv VIP Subscription to use it. GoPlaxt is free and doesn't require Trakt.tv VIP subscription. Original Dev has stop development after Trakt.tv added it to the VIP subscription, However the dev (XandarStrike) has stated he will continue to merge PR's to the project but will not answer if any issues arrise. This is the SELFHOSTED version of the same tool that dev (XandarStrike) offers freely on his server at https://plaxt.astandke.com/ Requirements: - Create a new API App on Trakt.tv - Enable Scrobble and Check-in - Set Redirect URL to: - https://sub.example.com:/authorize (keep in mind your Plaxt instance must be accessible to all the Plex servers you intend to play media from. ) - http://your-local-ip:8000/authorize - Set JavaScript (cors) origins to: - http://your-local-ip:8000 Make Note of CLIENT ID and CLIENT SECRET this are REQUIRED.

Plex-TVTime is a Plex webhook handler that automatically updates your TVTime watch history. TV episodes are automatically marked as watched once you complete them on Plex.

PlexWeb is a web app for Plex servers. Connect to your server via your URL and token to access features like viewing current activity and adding playlists based on IMDb lists. Based on Flask.

Automatically skip tagged content in Plex.

This is the official container supported by the Tautulli devs. Tautulli is a 3rd party application that you can run alongside your Plex Media Server to monitor activity and track various statistics.

Tautulli(http://tautulli.com) is a python based web application for monitoring, analytics and notifications for Plex Media Server.

tinyMediaManager is a media management tool written in Java/Swing. It is written to provide metadata for the Kodi Media Center (formerly known as XBMC), MediaPortal and Plex media server. Due to the fact that it is written in Java, tinyMediaManager will run on Windows, Linux and macOS (and possible more OS).