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%

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