Automatically moves failed cards into a two-stage filtered deck loop, promoting and releasing them as they pass, without altering long-term scheduling.
Alternatives to Dependency Booster for Anki
AnkiWeb addon 1764696591
AI answer
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Similar addons (found without AI)
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.
Scans tagged cards for kanji and suspends or unsuspends them based on whether all contained kanji are known, updating manually.
Automates AI-powered vocabulary card creation with audio, translations, images, definitions, mnemonics, and progressive exercises, but requires the separately purchased companion dictionary.
Creates one filtered deck per tag under a parent deck, with configurable limits, ordering, preview or rescheduling, optional automatic unsuspending, and Browser tag selection.
Now superseded by Interval booster, with a linked Reddit post providing further information.
Imports vocabulary or sentences from Vocab.Ai or other Baserow instances into Anki using configurable credentials, database, table, view, deck and note type, with settings remembered for repeat imports.
Two-way Google Sheets sync for vocabulary decks, writing review stats back to the sheet and gating reverse cards until forward cards mature.
Applies configurable trigger-and-action rules to cards in a note, automatically suspending, unsuspending, or burying others based on conditions like maturity, applied from the browser or main window.
Sorts decks by customizable character frequency lists, suspends cards above a chosen HSK level, orders Heisig components before cards, and provides customizable Hanzi statistics.
Builds sentences by arranging interactive word tiles instead of typing answers, with customizable card layout, optional answer check, and cross-platform Anki support.
Automatically bolds target Japanese vocabulary within sentence fields using morphology-aware matching, with dry-run preview, browser integration, custom readings, and optional furigana clearing.