https://github.com/open-spaced-repetition/py-fsrs/releases/tag/v2.1.0

Card objects are now timezone aware in addition to being UTC.

https://github.com/open-spaced-repetition/py-fsrs/pull/31

A fundamental question that come to my mind was: when to separate decks and use different FSRS weights and presets?

The purpose of this repository is to investigate deck vs collection based presets.

https://github.com/open-spaced-repetition/fsrs-when-to-separate-presets

https://github.com/open-spaced-repetition/fsrs4anki/releases/tag/v4.15.0

According to new updated benchmarks on 740 million reviews !

FSRS is one of the most accurate spaced repetition algorithms in the world (updated benchmark)
byu/ClarityInMadness inAnki

https://github.com/open-spaced-repetition/fsrs4anki/releases/tag/v4.14.3

https://github.com/open-spaced-repetition/fsrs4anki/releases/tag/v4.14.2

1000 reviews are currently necessary to perform an optimization of FSRS parameters. However new data suggest that this limit could be as low as 16.

https://github.com/ankitects/anki/issues/3094

https://github.com/RlzHi/srs-benchmark

The new RMSE is less likely to cheat and still easy to understand

https://github.com/ankitects/anki/commit/74a603e61bb4dfbb22c443635ffef6e42a3ae3c5

https://github.com/ankitects/anki/pull/3087

https://github.com/open-spaced-repetition/fsrs4anki/wiki/The-Metric