A web-based Jellyfin client that delivers user-friendly, daily watching recommendations.
Features:
- Filters by:
- Production year
- Community rating (IMDB)
- Critic rating (Rotten Tomatoes)
- Hide played movies
- Categories:
- Today's picks (random movies, consistent across the day).
- Latest movies
- Newest movies
- Favourites
- Each available genre
You can either use the included docker files, or manually run it.
An API_URL
environment variable is required with the value being the address to your Jellyfin server, including trailing slash (http://localhost:5000/
, for example).
An example docker-compose file:
version: '3.9'
services:
jellix:
container_name: jellix
build: ./jellix
restart: unless-stopped
environment:
- API_URL=http://localhost:5000/
ports:
- 3000:3000
This will run Jellix on port 3000, which you can either access directly or preferably use in nginx.
This project is composed entirely of static files. All that it requires is a web server. First, edit code/params.js
to your Jellyfin server, including trailing slash (http://localhost:5000/
, for example). After that you can either deliver this project as a static directory via nginx or some other web server, or you can spin one your own with python by running python -m http.server 3000
in the code
directory, which you can then access via http://localhost:3000/