[Jellyfin](https://jellyfin.github.io/) is a Free Software Media System that puts you in control of managing and streaming your media. It is an alternative to the proprietary Emby and Plex, to provide media from a dedicated server to end-user devices via multiple apps. Jellyfin is descended from Emby's 3.5.2 release and ported to the .NET Core framework to enable full cross-platform support. There are no strings attached, no premium licenses or features, and no hidden agendas: just a team who want to build something better and work together to achieve it.
Our images support multiple architectures such as `x86-64`, `arm64` and `armhf`. We utilise the docker manifest for multi-platform awareness. More information is available from docker [here](https://github.com/docker/distribution/blob/master/docs/spec/manifest-v2-2.md#manifest-list) and our announcement [here](https://blog.linuxserver.io/2019/02/21/the-lsio-pipeline-project/).
This image provides various versions that are available via tags. `latest` tag usually provides the latest stable version. Others are considered under development and caution must be exercised when using them.
More information can be found on the official documentation [here](https://jellyfin.org/docs/general/quick-start.html).
## Hardware Acceleration
### Intel
Hardware acceleration users for Intel Quicksync will need to mount their /dev/dri video device inside of the container by passing the following command when running or creating the container:
`--device=/dev/dri:/dev/dri`
We will automatically ensure the abc user inside of the container has the proper permissions to access this device.
### Nvidia
Hardware acceleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here:
https://github.com/NVIDIA/nvidia-docker
We automatically add the necessary environment variable that will utilise all the features available on a GPU on the host. Once nvidia-docker is installed on your host you will need to re/create the docker container with the nvidia container runtime `--runtime=nvidia` and add an environment variable `-e NVIDIA_VISIBLE_DEVICES=all` (can also be set to a specific gpu's UUID, this can be discovered by running `nvidia-smi --query-gpu=gpu_name,gpu_uuid --format=csv` ). NVIDIA automatically mounts the GPU and drivers from your host into the jellyfin docker container.
### OpenMAX (Raspberry Pi)
Hardware acceleration users for Raspberry Pi MMAL/OpenMAX will need to mount their `/dev/vcsm` and `/dev/vchiq` video devices inside of the container and their system OpenMax libs by passing the following options when running or creating the container:
```
--device=/dev/vcsm:/dev/vcsm
--device=/dev/vchiq:/dev/vchiq
-v /opt/vc/lib:/opt/vc/lib
```
### V4L2 (Raspberry Pi)
Hardware acceleration users for Raspberry Pi V4L2 will need to mount their `/dev/video1X` devices inside of the container by passing the following options when running or creating the container:
Docker images are configured using parameters passed at runtime (such as those above). These parameters are separated by a colon and indicate `<external>:<internal>` respectively. For example, `-p 8080:80` would expose port `80` from inside the container to be accessible from the host's IP on port `8080` outside the container.
For all of our images we provide the ability to override the default umask settings for services started within the containers using the optional `-e UMASK=022` setting.
Keep in mind umask is not chmod it subtracts from permissions based on it's value it does not add. Please read up [here](https://en.wikipedia.org/wiki/Umask) before asking for support.
The [official documentation for ports](https://jellyfin.org/docs/general/networking/index.html) has additional ports that can provide auto discovery.
Service Discovery (`1900/udp`) - Since client auto-discover would break if this option were configurable, you cannot change this in the settings at this time. DLNA also uses this port and is required to be in the local subnet.
Client Discovery (`7359/udp`) - Allows clients to discover Jellyfin on the local network. A broadcast message to this port with "Who is Jellyfin Server?" will get a JSON response that includes the server address, ID, and name.
The [official documentation for environmentals](https://jellyfin.org/docs/general/administration/configuration.html) has additional environmentals that can provide additional configurability such as migrating to the native Jellyfin image.
When using volumes (`-v` flags), permissions issues can arise between the host OS and the container, we avoid this issue by allowing you to specify the user `PUID` and group `PGID`.
[](https://mods.linuxserver.io/?mod=jellyfin "view available mods for this container.") [](https://mods.linuxserver.io/?mod=universal "view available universal mods.")
We publish various [Docker Mods](https://github.com/linuxserver/docker-mods) to enable additional functionality within the containers. The list of Mods available for this image (if any) as well as universal mods that can be applied to any one of our images can be accessed via the dynamic badges above.
