ipinfo VS youtube-cue

All of mine are CLI...

https://github.com/jftuga/less-Windows - [not really mine, but I just help maintain the port] - GNU less compiled for Windows 10 & 11. Stand-alone version with no dependencies.

https://github.com/jftuga/gofwd - A cross-platform TCP port forwarder with Duo 2FA and Geo-IP integration

https://github.com/jftuga/spotprice - Quickly get AWS spot instance pricing - a bit easier to use than the aws cli; is also faster and has more features

https://github.com/jftuga/tcpscan - A standalone, fast, simple, multi-threaded cross-platform IPv4 TCP port scanner

https://github.com/jftuga/ipinfo - Return IP address info including geographic location and distance when given IP address, email address, host name or URL

https://github.com/jftuga/photo_id_resizer - Resize photo ID images using face recognition technology

https://github.com/jftuga/chars - Determine the end-of-line format, tabs, bom, and nul characters

> 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 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.