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.
Alternatives to Anki Time Per Deck
AnkiWeb addon 134630619
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Similar addons (found without AI)
Automatically adjusts a deck's specific daily new-card limit to meet a chosen deadline, optionally including subdecks and a margin, with previews and automatic recalculations.
Plans new-card introduction toward a deadline and forecasts card maturation, tracking progress against milestones with consistency metrics and actionable study advice.
Turns exam dates into manageable daily new-card targets through multiple independent plans with flexible study days, previews, safe limit restoration, and automatic recalculation, while leaving review scheduling to Anki.
Adjusts daily new card limits per deck based on young card counts, estimated review load, or cards due soon, with configurable rules and automatic updates.
Adds browser columns for initial fail rate, card age, and average daily time spent, plus leech export and age/unique-day filtering tools for faster suspension.
Automatically adjusts new-card limits based on current review workload and overdue cards to maintain a steady study load and prevent overload.
Sets per-deck daily new-card goals, fixed or deadline-based, and displays progress badges and bars on deck lists and overview screens, including subdecks.
Automatically suspends cards older than a configurable number of days in specified decks after each sync, with an optional pop-up summary, to reduce daily review load.
Calculates how many cards you must review daily to clear a chosen deck's due backlog, including subdecks, by a target date.
Sets different new-card and review limits for each day of the week, optionally per deck, via Tools > Daily Limits.
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.