pgweb
youtube-cue
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pgweb | youtube-cue | |
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4 | 3 | |
8,282 | 14 | |
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7.2 | 6.4 | |
8 days ago | 4 months ago | |
Go | JavaScript | |
MIT License | - |
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pgweb
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Ask HN: What apps have you created for your own use?
Built Pgweb (Postgres GUI) some time ago since I could not find a good minimalistic database explorer.
https://github.com/sosedoff/pgweb
The app is super simple, made with Go + jQuery and I still use it almost every day, and has brought it to every single company I've been with.
- Slashbase: A modern in-browser database IDE & CLI for your dev & data workflows. Supports PostgreSQL & MongoDB.
- Slashbase: The open-source in-browser database IDE & CLI for your dev/data workflows written in Golang. Supports: PostgreSQL & MongoDB.
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A nice front end for reading mysql or postgres data?
For postgresql, pgweb is perfect.
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?
rqlite - The lightweight, distributed relational database built on SQLite.
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.
Dotsql - A Golang library for using SQL.
stag - public domain utf8 curses based audio file tagger
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
full-text-tabs-forever - Full text search all your browsing history
tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial
BeetsPluginStructuredCommen
sqlhooks - Attach hooks to any database/sql driver
stag - STag: A Stable Fiducial Marker System
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
BeetsPluginStructuredComments