youtube-cue
beets
Our great sponsors
youtube-cue | beets | |
---|---|---|
3 | 186 | |
14 | 12,393 | |
- | 0.8% | |
6.4 | 9.7 | |
5 months ago | 7 days ago | |
JavaScript | Python | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
youtube-cue
-
Ask HN: What apps have you created for your own use?
> CLI: I wanted to download songs from youtube, but they were often stitched as complete albums - so I wrote a youtube-cue generator that generates cuesheets that can then be used to split and tag the yt-dlp downloaded audio file. (https://github.com/captn3m0/youtube-cue)
Thanks for this! I need to do some testing, this might automate the last manual step of my own script for converting YT mixes into distinct tracks. The problem I faced is that often the timestamps are not in the description, but instead in a comment, sometimes not even the pinned/top voted comment. That is why I paste it in via stdin for now.
As this fits the thread topic, a short description of this script. I enjoy YT mixes and wanted to listen to them in my car. I can use an USB stick with media files and playlists which are displayed decently by the infotainment system. I wrote a script that takes in a YT URL (or anything supported by yt-dlp), downloads & converts it to mp3, splits the mp3 file based on a list of timestamps, recognizes (tries to anyway) the songs via SongRec [0], tags & names the files correctly and finally generates an M3U playlist in the format recognized by my car. I use song recognition instead of parsing out the names from the timestamped list as the format of Artist - Title is nearly always slightly different. It was easier to use SongRec instead and get everything I need for tagging with >90% hit rate.
The heavy lifting is done by calling out to yt-dlp, ffmpeg and SongRec. I just glued them together with Python. I like your approach of a do one thing well and might add youtube-cue to the toolset.
[0] https://github.com/marin-m/SongRec
-
Beets is the media library management system for obsessive music geeks
Beets is amazing and comes with great defaults. I wrote code recently to generate CUE sheets from YouTube mixes[0] and beet imports it nicely and easily.
[0]: https://github.com/captn3m0/youtube-cue There is a bash snippet in readme to show the Beets integration.
beets
-
Show HN: Synced lyrics database with a free, easy-to-use API
I was always frustrated that there is no solid source for synced lyrics that also offers decent API support. There is good ol' Crintsoft's MiniLyrics that is thankfully free software, was what I used a lot in my childhood, but unfortunately the API is highly obfuscated. Another popular choice is the Musixmatch API, which has a very large database of synced lyrics, but with "free" API that are reverse-engineered from their app, you will quickly run into rate-limit.
That's why I created LRCLIB. It's aimed to provide completely free synchronized lyrics for everyone, especially for FOSS music players, with zero profit intention. It currently has nearly 3,000,000 (not deduplicated) lyrics in database. You can also contribute to the database by adding and syncing lyrics for your favorite songs using the LRCGET client.
I'm trying my best to make LRCLIB server-side code open-source as soon as possible. But right now, full LRCLIB's database dumps have already been uploaded regularly and publicly, which are simply sqlite3 files. Feel free to download, look at or do anything you want with the database at https://lrclib.net/db-dumps.
Many open-source projects have already begun integrating LRCLIB, including:
- beets - music library metadata management (https://github.com/beetbox/beets)
-
Finally moving to Navidrome... but how to best manage files and metadata?
I just ssh onto my server and use beets to remotely organize my navidrome collection and edit metadata. Beets has lots of auto-tagging features and I rarely need to edit anything manually. Works great if you are ok with using the command line.
- Beets: The music geek's media organizer
- Manage offline music?
-
Musicserver that works with folders, not albums
You could try https://github.com/beetbox/beets but it seemed very manual and extremely slow. I had better luck with Picard.
-
Ask HN: Flac/MP3 listeners: How do you store/play your music?
Honestly? I use https://beets.io/ to organise all my FLAC on my NAS.
I expose the /Music directory over NFC.
I use https://kodi.tv/ to stream music to my amp. I manually pick the album I want to listen to.
Kodi also has a fairly reasonable web UI.
Keep it simple.
- How do you keep your music library organized?
-
Library Organiser?
If you're technically inclined, there's beets.
-
anyone else wish this was still a thing?? scrolling album art - ios 6.1.3
You should check out beets.
-
Is there a faster way to organize music torrents into a specific folder?
Yes, you have the torrent client call beets.io on the folder and have beets configured.
What are some alternatives?
picard - A cross-platform music tagger powered by the MusicBrainz database. Picard organizes your music collection by updating your tags, renaming your files, and sorting them into a folder structure, exactly the way you want it.
Lidarr - Looks and smells like Sonarr but made for music.
stag - public domain utf8 curses based audio file tagger
Navidrome Music Server - ๐งโ๏ธ Modern Music Server and Streamer compatible with Subsonic/Airsonic
full-text-tabs-forever - Full text search all your browsing history
BeetsPluginStructuredCommen
Airsonic - :satellite: :cloud: :notes:Airsonic, a Free and Open Source community driven media server (fork of Subsonic and Libresonic)
stag - STag: A Stable Fiducial Marker System
Ampache - A web based audio/video streaming application and file manager allowing you to access your music & videos from anywhere, using almost any internet enabled device.
BeetsPluginStructuredComments
librosa - Python library for audio and music analysis