5fa0b090fd8a5972eb1aba3a59d82f52529fbcc5
Music Library
Features
- Import records from MusicBrainz, with optional override of specific pieces of data
- Manage a collection and a wishlist of records, with ways to quickly search and filter based on records' metadata
- Integration with Last.fm (display latest scrobbles, and where possible connect them with records in the collection or wishlist)
- Some basic stats
- All data stored in a single SQLite database for portability and ease of backup/restore
- Ideal for deployment on a server with limited resources (1CPU, 512MB RAM)
Screenshots
Stats
Collection
Edit a record in the collection
View a record's details in the collection
Importing a record in the wishlist
Setup
The project is managed and configured via mise-en-place:
mise installwill pull the correct Erlang, Elixir and Node.js versionsmise run setupwill setup dependencies and database structure
Environment configuration
The application requires the following environment variables:
LAST_FM_USER: the Last.fm username used to populate the Scrobble ActivityLAST_FM_API_KEY(secret): the Last.fm API key used to fetch the Scrobble ActivityOPENAI_KEY(secret): the OpenAI API key used to populating genres
In production, the application also requires:
LOGIN_PASSWORD(secret): the password used for accessing the application.
You can create a mise.local.toml with the required variables (sample values
are included at the top of mise.toml).
Running the application
Start the Phoenix endpoint with mix phx.server or inside IEx with
iex -S mix phx.server.
Now you can visit localhost:4000 from your browser.
The default password for development is change me.
Deployment
The application is setup for deployment on Fly.io - just make sure you edit
fly.toml to match your app name, domain, etc.
CI
See the .github folder.
Favicons
This favicon was generated using the following graphics from Twitter Twemoji:
- Graphics Title: 1f4bd.svg
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- Graphics License: CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
Description
Languages
Elixir
77.4%
Python
10%
TypeScript
6.6%
HTML
3.7%
Shell
1.4%
Other
0.8%




