Community Apps

Browse our large and growing catalog of applications to run in your Unraid server. 

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Community-built

All the applications you love—built and maintained by a community member who understands what you need on Unraid. Love a particular app or plugin? Donate directly to the developer to support their work.

Created by a legend

Andrew (aka Squid) has worked tirelessly to build and enhance the experience of Community Apps for users like you. Listen to his story.

Moderated and Vetted

Moderators ensure that apps listed in the store offer a safe, compatible, and consistent experience. Learn more about our guidelines.


frigate's Icon

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. You cas use a integrated or dedicated GPU (Intel/AMD/Nvidia) to perform the image decoding of the input streams of your cameras. Optionally (but highly recommended), you can use multiple devices to perform the object detetion, such as a Google Coral Accelerator Nvidia GPU, OpenVINO (Intel GPU) and Intel NCS2 VPU See the documentation for more details about your specific hardware and needs (https://docs.frigate.video/). This is a general templeate that aims to give a fast deoplyment for every user so check all the options carefully and remove all the configurations that you are not going to use.

WhosAtMyFeeder's Icon

WhosAtMyFeeder beta

Home Automation

This app works with Frigate to identify the species of birds in a video stream. You must first create a config folder and copy this config.yml file (https://raw.githubusercontent.com/mmcc-xx/WhosAtMyFeeder/master/config/config.yml) into the folder (changing it according to your frigate/mqtt configrutation). Then you also should take a look to the recommended modifications to the config file of your frigate instance here (https://github.com/mmcc-xx/WhosAtMyFeeder). Finally you can launch this app.