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Srs-benchmark Alternatives
Similar projects and alternatives to srs-benchmark
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Anki-Android
AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.
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fsrs4anki-helper
An Anki add-on that supports Postpone & Advance & Load Balance & Easy Days & Disperse Siblings & Flatten
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ebisu
Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)
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language-flashcard-app-gpt4
A language Flashcard App built using Python and Langchain, enhanced with the intelligence of GPT-4.
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memorize
Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019
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Incrementum
Desktop app for incremental reading and spaced repetition. FSRS-6, SM-18/20, AI flashcards, PDF/EPUB/audio/video import. Tauri 2 + React 19 + Rust.
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srs-benchmark discussion
srs-benchmark reviews and mentions
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Spaced Repetition Algorithm: A Three‐Day Journey from Novice to Expert
Nice article but small note:
>You might be thinking "If spaced repetition is so effective, why isn't it more popular?"
I might have thought that 30 years ago - but I can't remember the last time I used a flashcard app (phone, Desktop, etc) that didn't include SRS as the default algorithm. These days the new hotness is FSRS [1] which Anki uses.
[1] - https://github.com/open-spaced-repetition/srs-benchmark?tab=...
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Show HN: Ricotta – Language Learning to Replace Anki
Actually, we have found some algorithms which outperform FSRS[1]. Unfortunately, it's hard to deploy them in user's local device.
[1] https://github.com/open-spaced-repetition/srs-benchmark?tab=...
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FSRS: A modern, efficient spaced repetition algorithm
I've shared it here in the original ticket that added the benchmark confidence intervals https://github.com/open-spaced-repetition/fsrs-benchmark/iss...
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FSRS is now the most accurate spaced repetition algorithm in the world*
Here's the link to the benchmark repository: https://github.com/open-spaced-repetition/fsrs-benchmark/tree/Feat/new-dataset
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In the 1st anniversary of FSRS, I want to share some progress of recent works.
Recently, I have run three comparisons for spaced repetition algorithms. They included SM-15, SM-17, SM-2, HLR, LSTM and FSRS series. The initial result shows that FSRS v4 beats all other algorithms in predicting probability of recall. It's a good news that the open-source algorithm can overperform SuperMemo's proprietary algorithm.
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A note from our sponsor - SaaSHub
www.saashub.com | 11 Aug 2026
Stats
The primary programming language of srs-benchmark is Jupyter Notebook.
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