I think the spaced repetition community should up it's research game, and implement the findings.

This page summarizes the projects mentioned and recommended in the original post on /r/Anki

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • memorize

    Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019

  • It's been long known to researchers that longer interval usually = better retention, with no clear diminishing returns, yet Anki's default intervals are extremely short. Most Anki bloggers and "influencers" give advice about Anki settings based on personal experience and gut feelings, even though we have OPEN DATA, even by Duolingo, analyzed with state of the art statistical methods demonstrating that there is much improvement to be made.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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