GitHub - dessalines/rank-my-favs: An Android app to rank your favorite things, using simple pair-wise matchups.
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An Android app to rank your favorite things, using simple pair-wise matchups. - dessalines/rank-my-favs

Do you keep lists of your favorite things, such as movies, books, recipes, or music albums? You might keep list(s) that looks like this:

  • Network (1976)
  • Lone Star (1996)
  • Devils (1971)
  • The Seventh Seal (1957)
  • … Many more films

But how do you rank these?

You might be tempted to order them by preference, but this could quickly get overwhelming for long lists.

A much easier method is to use pairwise comparisons, which shows you single head-to-head pairs, and has you choose which one you like best.

After doing a small number of these matchups, Rank-My-Favs can confidently create a ranked list for you.

Under the hood, Rank-My-Favs uses the advanced Glicko rating system, to determine how many matches are necessary, and for ranking.

Features

Built With

Installation / Releases

Support / Donate

Rank-My-Favs will always remain free, open-source software. We’ve seen many open-source projects go unmaintained after a few years. Recurring donations have proven to be the only way these projects can stay alive.

Your donations directly support full-time development, and help keep this maintained. If you find yourself using rank-my-favs every day, consider donating:

Crypto

  • bitcoin: 1Hefs7miXS5ff5Ck5xvmjKjXf5242KzRtK
  • ethereum: 0x400c96c96acbC6E7B3B43B1dc1BB446540a88A01
  • monero: 41taVyY6e1xApqKyMVDRVxJ76sPkfZhALLTjRvVKpaAh2pBd4wv9RgYj1tSPrx8wc6iE1uWUfjtQdTmTy2FGMeChGVKPQuV

Social / Contact

  • emb@lemmy.world
    2·
    4 months ago

    Thanks for updating it! Newer version is all around much better.

    Only nitpicky wishlist item I have left is for an undo button on the match screen. (Though it’s not really needed since you can reset an item’s stats.)

    • DessalinesOPA
      21·
      4 months ago

      Another thing you can do now (probably even better than clearing stats), is go to that item, and force-train it a bunch more. The rating algorithm in use is the same one they use for chess matches, so it can handle a “loss” or a “misclick” by doing more matches eventually beating the old one.