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 Catch-Up Column for Anki Debt
AnkiWeb addon 728520797
AI answer
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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.
Calculates how many cards you must review daily to clear a chosen deck's due backlog, including subdecks, by a target date.
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.
Displays extra due-card statistics and an estimated time to finish due and new cards, with configurable new-card counting, multi-day review data, toggleable time display, and custom number colors.
Sends Beeminder the number of started cards not currently due, filtered by search, via multiple goals, updating after syncs, review exits, or manually.
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.
Displays an interactive heatmap calendar and stats on Anki's main screen, tracking reviews, retention, speed, focus, workload forecasts, plus themes and background photos.
Adds detailed deck overview statistics with category counts and percentages, completion forecasts, customizable date formats and colors, and optional note-based counts.
Adds a fifth passive-review button that reschedules cards a day out, letting users clear large backlogs quickly.
Displays exam countdown banners during reviews, with per-deck settings, comparison modes, pre-flip warnings, and tools to reschedule cards before exams.
Displays deck-browser graphs of answer speed versus retention, a learning forecast, and new-card counts with time-remaining estimates.