2021-08-06 01:28:20 +10:00
2020-01-31 01:04:41 +10:00
2021-08-05 23:54:46 +10:00
2021-08-06 01:28:20 +10:00

PiJARR

A bash shell script to automate the setup and configuration of Jackett, Sonarr, Radarr, and Lidarr on a Raspberry Pi.

Tested August 2021 Raspberry Pi 3 & 4
Running Raspberry Pi OS (32-bit) Lite minimal image based on Debian Buster - May 7th 2021 (Kernel 5.10)

Usage

Method 1: Clone and run locally. You can edit and modify script to suit using this method.

git clone https://github.com/piscripts/pijarr.git

sudo bash pijarr/pijarr-setup.sh

Method 2 (Quick easy setup): Just use the curl or wget command lines shown below for a one-step install.

sudo bash -c "$(curl -fsSL https://raw.githubusercontent.com/piscripts/pijarr/master/pijarr-setup.sh)"

sudo bash -c "$(wget -O- https://raw.githubusercontent.com/piscripts/pijarr/master/pijarr-setup.sh)"

Default web ports

Once all applications are installed and the services are started they can be accessed at the following port numbers:

SERVICE ADDRESS & PORT
Jackett: http://<ipaddress>:9117
Sonarr: http://<ipaddress>:8989
Lidarr: http://<ipaddress>:8686
Radarr: http://<ipaddress>:7878

Troubleshooting

The required dependencies including Mono (Cross platform, open source .NET framework) may take a while to download and install. Be patient. Otherwise try installing dependencies manually using the commands below and then re-run the script:

  1. sudo apt -y install apt-transport-https dirmngr gnupg ca-certificates

  2. sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys 3FA7E0328081BFF6A14DA29AA6A19B38D3D831EF

  3. echo "deb https://download.mono-project.com/repo/debian stable-raspbianbuster main" | sudo tee /etc/apt/sources.list.d/mono-official-stable.list

  4. sudo apt -y update

  5. sudo apt -y install mono-devel mediainfo sqlite3 libmono-cil-dev libchromaprint-tools

Description
A shell script to automate the installation and configuration of Jackett, Sonarr, Radarr, Lidarr, Readarr, Prowlarr, and Bazarr on Debian based distros.
Readme MIT 1.7 MiB
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