Beets Radbox

Here's what I did to promote beets (http://beets.radbox.org) over a long period of time (3ish years) before it became "popular": - Post to domain-specific forums where I thought people would be interested. That includes stuff like /r/python on and /r/music in my case, as well as the user forums for music-streaming systems. - Build community. IRC, mailing lists, close collaborations on GitHub. Encourage people to become GitHub collaborators early to solidify their commitment to the project. - Keep trying to delight the users I have. Other people's endorsements on Twitter, HN, etc. consistently work better than my own. - Screencast. On YouTube so it's easily shareable. - Patience. Relentlessly make the project better. This is far away the best thing you can do; over the months and years, people will notice.

you should check out subsonic http://subsonic.org/ I like the isub app for iphone, but there are android apps too: http://www.subsonic.org/pages/apps.jsp I find subsonic works best with a friend or two participating. A miniature music club if you will. If you already have a large library, you can use beets to organize it in a separate database (this is our current project) http://beets.radbox.org/

Have you looked into Beets (http://beets.radbox.org/) or the classic Picard (http://musicbrainz.org/doc/MusicBrainz_Picard)?

I couldn't compile it on Debian yet, but tomahawk (https://www.tomahawk-player.org/) looks interesting. You could set up a music NAS with beets (http://beets.radbox.org/) as one of several sources (also you could have spotify, youtube, soundcloud) then have playlists that include stuff from a combination of them. A last.fm type service for tomahawk is in beta at https://hatchet.is

> Ideally, I'd like to be able to run queries on my music library and have an interesting playlist returned to me. You want Beets.[1] Anything you could possibly want is doable with the smart playlist feature[2] and the redonkulous power of the queries and metadata (chromaprint/musicbrainz/echonest). There is a plugin for last.fm genres but I have not used it. I am not sure how you got similarities from last.fm but you can definitely use the echonest data to find similar music. There was a good discussion of beets here not so long ago. [1]: http://beets.radbox.org/ [2]: https://beets.readthedocs.org/en/v1.3.5/plugins/smartplaylist.html

I never decided I trusted the default MusicBrainz tagger, but they are working on the problem. Beets was posted here a while ago: https://news.ycombinator.com/item?id=7337021 http://beets.radbox.org/ It can pull data from MusicBrainz and people seem pretty happy with it in that thread.

One day I got a cheap-ish NAS then used beets [1] to organise and copy all the music on my computer to it, listening to it with Banshee[2] over the network. Then I got Spotify and don't bother much with it anymore... [1] http://beets.radbox.org/ [2] https://en.wikipedia.org/wiki/Banshee_%28media_player%29

It's showing in the (old) demo video [0] and makes it possible to query the database through a web interface. Maybe the web interface isn't enabled by default, add the plugin [1] to enable it. [0] http://beets.radbox.org/ [1] http://beets.readthedocs.org/en/v1.3.3/plugins/web.html

This sounds much the same as me, but with beets [1] instead of mp3tag. Not just does your audio-fingerprinting/musicbrainz/tagging, but also maintains a database for you, and has a command line query tool that you can just pipe into another player. http://beets.radbox.org/

While it's not drag & drop, you should take a look at beets (http://beets.radbox.org/). It's written in Python and has fairly active development. It uses the MusicBrainz database for cataloging music and is pretty customizable as far as directory structure etc.

Yesterday, I spent some hours exporting my roughly 45.000 photos in my iPhoto library to a folder structure sorted by year and event. The tool I used is called Phoshare (https://code.google.com/p/phoshare/). The site says its no longer supported, but even with the latest OSX and iPhoto versions it seems to do the trick. I was able to convert faces to exif meta tags containing the persons name. Otherwise I did not have a lot of metadata in iPhoto. Now I'm heading over to digiKam or maybe some other tool outside the walled garden. For my iTunes library, I first used beets (http://beets.radbox.org/) to fix the metadata of my music files, and now cmus (https://cmus.github.io/) as a music player. As an alternative music player I'm considering EMMS (https://www.gnu.org/software/emms/). I don't know about alternatives to iPhone syncing. My iPhone died last week, and I'm waiting for my Fairphone to arrive in a couple of weeks.

* psdash developers don't care ? then why is this: https://github.com/Jahaja/psdash/commit/f05c8e0a1011603d5ef408d32f7cf3… * Twisted is getting ported. Scrapy too, according to the FAQ. * Beets ? http://beets.radbox.org/blog/py3k.html * PyJVM ? Who cares ? My point being, the whole community is moving forward.