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

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Social / Contact

  • Dessalines@lemmy.mlOP
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    5 months ago

    There’s a search button that would probably serve that purpose, but you could open up an issue on the github for it.

    • emb@lemmy.world
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      5 months ago

      Is there? I might be blind, or the F-droid version might be behind. Either way, not a big deal, but I don’t see it.

        • emb@lemmy.world
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          5 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.)

          • Dessalines@lemmy.mlOP
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            5 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.