How do you organize your data?

This page summarizes the projects mentioned and recommended in the original post on /r/datacurator

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  • album-splitter

    Split single-file MP3 albums into separate tracks. Downloads from YouTube supported.

  • For music, I exclusively listen to albums on youtube. I use the tool albumsplitter.py which downloads and splits the album into distinct songs, so you can shuffle easily between difference songs in a mp3 player. I then use foobar2k discogs plug-in to add metadata. Im a bit annoyed by this set-up do to how manual it is. I think I can develop a script that does this automatically and access it through the windows drop down menu but i've been bad lazy. I ultimately want to develop a personal report generated from the usage statistics of foobar (or some other music player) to figure out what albums / songs ive liked, listen to, how extensive, what genres, forecast etc.

  • datacurator-filetree

    a standard filetree for /r/datacurator [ and r/datahoarder ]

  • Yeah that's mine. But it's more general purpose, so everyone should adjust it a bit to their needs. https://github.com/roboyoshi/datacurator-filetree

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • filetags

    Management of simple tags within file names

  • Technically, it makes use of filename-based time-stamps and tags by the "filetags"-method which also includes the rather unique TagTrees feature as one particular retrieval method.

  • appendfilename

    Intelligent appending text to file names, considering file extensions and file tags

  • The whole method consists of a set of independent and flexible (Python) scripts that can be easily installed (via pip; very Windows-friendly setup), integrated into file browsers that allow to integrate arbitrary external tools.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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