Reschedules Anki cards using FSRS review histories, postpones or advances selected cards, balances daily workload, schedules breaks, disperses sibling cards, flattens backlogs, and reports memory and learning-step statistics.
Alternatives to Engagement Sorter ⇄
AnkiWeb addon 42474896
AI answer
Starting…
Answers are generated by Claude from the catalog data and may contain mistakes.
Similar addons (found without AI)
Simulates exam conditions through filtered-deck custom study sessions and reports performance metrics including total score, accuracy, time taken and grade.
Calculates a daily study plan per deck to finish reviews and new cards by a target date, with adjustable intensity, deck selection, simulations, and automatic unique presets.
Adds Tools menu actions to suspend and tag all due cards as backlog, then release them in configurable batches by deck and order.
Calculates how many cards you must review daily to clear a chosen deck's due backlog, including subdecks, by a target date.
Displays deck-browser graphs of answer speed versus retention, a learning forecast, and new-card counts with time-remaining estimates.
Combines PDFs, EPUBs, videos, web pages, and notes with normal flashcards in incremental study sessions, letting you highlight, extract new cards, prioritize, and resume where you left off.
Builds guided native Anki filtered decks from chosen topics and decks, plus recovery, time-based sessions, resume, context, private notes, debriefs, and workload hints.
Converts daily Anki reviews into coins for an asynchronous multiplayer hexagonal strategy game, where learners race to find keys and artifacts while hazards force extra reviews.
Sends Beeminder the number of started cards not currently due, filtered by search, via multiple goals, updating after syncs, review exits, or manually.
Orders review cards in regular decks by interval, default decreasing or optionally increasing, though it can slow queue building.
Randomly rewards card reviews at an adjustable average interval with custom popup messages, images, or system sounds, adding loot-drop-style motivation during desktop study sessions.