SuggestArr

Effortlessly request recommended movies, TV shows and anime to Jellyseer/Overseer based on your recently watched content on Jellyfin, Plex or Emby, let SuggestArr handle it all automatically, keeping your library fresh with new and exciting content!

Not yet testedsource: GitHubhomepagePythonMITcommit 809353da4dc1

Python, MIT licensed. The project labels itself: automation, docker, emby, jellyfin, jellyseerr, llm, media automation and ombi.

SuggestArr has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
1,334
forks
42
open issues
10
watchers
3
size
10 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

No recorded runs.

Topics (from GitHub)

automationdockerembyjellyfinjellyseerrllmmedia-automationombiopen-sourceopenaioverseerrplexself-hostedtmdbtrakt

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/SuggestArr.svg)](https://argusic.com/subject/suggestarr)

Questions

Does SuggestArr run?
SuggestArr has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test SuggestArr?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for SuggestArr?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion