deleterr VS PyTulli

Compare deleterr vs PyTulli and see what are their differences.

deleterr

Deleterr is a Python script designed to help you manage available disk space in your Plex media server. (by rfsbraz)

PyTulli

Simple script that uses Tautulli's API to check if a movie has not been played past n days then deletes them from the plex server via Radarr or Sonarr (by HH0718)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
deleterr PyTulli
1 1
108 5
- -
9.3 0.0
20 days ago over 1 year ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

deleterr

Posts with mentions or reviews of deleterr. We have used some of these posts to build our list of alternatives and similar projects.

PyTulli

Posts with mentions or reviews of PyTulli. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-22.

What are some alternatives?

When comparing deleterr and PyTulli you can also consider the following projects:

Plex-Cleaner - A script to clean up movies and episodes in Plex Media Server

JBOPS - Just a Bunch Of Plex Scripts

ezarr - Ezarr aims to make it as easy as possible to setup an entire Servarr/Jackett/BitTorrent/Usenet/PleX/Jellyfin mediacenter stack using Docker