fort
youtube-cue
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| fort | youtube-cue | |
|---|---|---|
| 3 | 3 | |
| 879 | 14 | |
| - | - | |
| 9.9 | 6.4 | |
| 1 day ago | 5 months ago | |
| C++ | JavaScript | |
| GNU General Public License v3.0 only | - |
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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.
fort
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Ask HN: What apps have you created for your own use?
1. https://github.com/tnodir/fort - Fort Firewall for Windows 7+.
I needed:
- app groups to easily enable/disable group of programs
- is there an open source firewall software which blocks EVERY connection from any application except the ones that I specify?
- Fort Firewall for Windows
youtube-cue
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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
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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.
What are some alternatives?
polycube - eBPF/XDP-based software framework for fast network services running in the Linux kernel.
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.
nx-firewall - Firewall KCM
stag - public domain utf8 curses based audio file tagger
net_wall - A lightweight windows firewall API in C++
full-text-tabs-forever - Full text search all your browsing history
FinBERT-QA - Financial Domain Question Answering with pre-trained BERT Language Model
BeetsPluginStructuredCommen
x64dbg - An open-source user mode debugger for Windows. Optimized for reverse engineering and malware analysis.
stag - STag: A Stable Fiducial Marker System
BeetsPluginStructuredComments
polychrome.nvim - A colorscheme creation micro-framework for Neovim