Anki-Android VS ebisu

Compare Anki-Android vs ebisu and see what are their differences.

Anki-Android

AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention. (by ankidroid)

ebisu

Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!) (by fasiha)
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Anki-Android ebisu
229 4
7,882 304
1.7% -
9.9 0.0
3 days ago 3 months ago
Kotlin Python
GNU General Public License v3.0 only The Unlicense
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Anki-Android

Posts with mentions or reviews of Anki-Android. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-27.

ebisu

Posts with mentions or reviews of ebisu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-27.
  • Anki – Powerful, intelligent flash cards
    14 projects | news.ycombinator.com | 27 Jan 2024
    I really wish something like https://github.com/fasiha/ebisu becomes the norm. That is, the idea of fitting the cards to your time (by prioritising) rather than you having to do everything there software wants.

    The only bit missing is some algorithm deciding how often to introduce new cards based on your historical data.

  • FSRS: A modern, efficient spaced repetition algorithm
    14 projects | news.ycombinator.com | 15 Jan 2024
    It seems from the description that FSRS still puts an exact review date on each card? This feature was pretty much the reason why I stopped using Anki. I'm not in college and not doing exams, I just want to practice when I feel like it, maybe with large breaks between sessions, and not feel like there's a backlog building up.

    I think Anki is a great app, I just wish there was an algorithm that would just randomly sample cards (with probability proportional to how urgently you need to review it) rather than put a review date on them. Something like https://github.com/fasiha/ebisu but available as an Anki plugin (if that supports custom algorithms on mobile yet?) or a similar app with an open format for cards.

  • Study Sets: The reason why cards repeat a lot (algorithm explanation)
    1 project | /r/GoodNotes | 27 Apr 2023
    "GoodNotes uses the Ebisu algorithm for its spaced repetition feature. Ebisu uses a Bayesian model to estimate the probability of remembering a given flashcard, which allows faster adaptation to changes in recall ability. Both algorithms have been shown to be effective in practice, you can learn more about Ebisu at https://fasiha.github.io/ebisu/ "
  • Am I using Anki wrong?
    1 project | /r/LearnJapanese | 13 Mar 2023
    This is a fundamental issue with SM-2 and how ease factors work. I personally have my Anki settings set up such that there is no ease factor penalty, though I will be working on porting Ebisu v3 to Anki's v3 scheduler once it's ready, which should finally allow us to have proper adaptive ease factors for cards (on all platforms) without the ease hell problem.

What are some alternatives?

When comparing Anki-Android and ebisu you can also consider the following projects:

ForgetMeNot - A flashcard app for Android.

ent.hpp - A header-only library that applies various tests to sequences of bytes stored in files and reports the results of those tests. The class is useful for evaluating pseudorandom number generators for encryption and statistical sampling applications, compression algorithms, and other applications where the information density of a file is of interest.

mnemosyne - Mnemosyne: efficient learning with powerful digital flash-cards.

dekki - An ML based spaced repetition algorithm to help you learn faster and remember longer.

anki - Anki's shared backend and web components, and the Qt frontend

option-pricer - Option pricing using Black-Scholes model, Bachelier model, Binomial Trees and Monte Carlo simulation under different stochastic processes

speed-focus-mode - Speed Focus Mode add-on for Anki

Midnight - Midnight Score Probabilities using a Monte Carlo Simulation

mooc-java-programming-i - University of Helsinki’s free massive open online course (MOOC) completed exercises. 2020 solutions

monaco - Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.

fsrs4anki - A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

LearningCards - Simple collaborative online version of learning/flash cards