free-spaced-repetition-scheduler
The premium Open Source alternative to SuperMemo (SM-18)
🎯 Best for:Developers building learning applications that require state-of-the-art memory modeling.
What is free-spaced-repetition-scheduler?
A modern alternative to the SM-2 algorithm used in legacy flashcard software. It implements a sophisticated stochastic model to predict memory decay and optimize review intervals for maximum retention.
Tech Stack
UnknownAI, ML & Data
Why free-spaced-repetition-scheduler?
- • Mathematically superior to SM-2
- • Available in Rust, Python, JS
- • Actively researched and updated
Limitations
- • Complex to implement manually
- • Requires historical review data
- • Abstract API for non-devs
3/3/2026
Last Update
25
Forks
0
Issues
MIT
License
Financial Leak Detected
Stop the "SaaS Tax"
Your team could be burning cash. Switching to free-spaced-repetition-scheduler instantly boosts your runway.
Competitor Cost
-$1,440
/ year (est. based on SuperMemo (SM-18))
Self-Hosted
$0
/ year
Team Size10 Users
150+
SAVE 100%