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
- Import your existing lists quickly.
- Uses the advanced Glicko rating system.
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
There’s a search button that would probably serve that purpose, but you could open up an issue on the github for it.
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.
The current version is 0.3.1, I think f-droid is behind.
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.)
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.