Clears review logs using preset time ranges—past hour through past year—or a custom deletion option accessible from the Tools menu.
Alternatives to Long term backups
AnkiWeb addon 529955533
AI answer
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Similar addons (found without AI)
Resets a selected deck's review statistics via Tools, offering time ranges from the last hour up to ten years, without confirmation and irreversibly.
Implements an adaptive FSRS v5/v6 retention scheduler that minimizes expected total review workload until cards reach long-term retirement, though the addon is now deprecated.
Rewrites card due dates via shifting, stretching, or daily caps, with filtered deck/tag selection, simulation previews, timeline charts, and single-step undo.
Adjusts a failed card's interval by applying a percentage that scales linearly from 100% for short prior intervals down to 25% for long ones, with user-adjustable values.
Adds a chart tracking how many new cards you actually learn each day, with selectable 1-month to all-time ranges and period totals on the deck overview and Congratulations screen.
Hides all new cards, or only those added today, until the next day by suspending and tagging them, with automatic triggers and a Tools menu command.
Adds detailed deck overview statistics with category counts and percentages, completion forecasts, customizable date formats and colors, and optional note-based counts.
Transforms Anki review history into 11 animated, Spotify-Wrapped-style slides summarizing retention, streaks, learner persona, deck themes, star and nemesis cards, with an AI-written shareable narrative.
A satirical add-on that claims to beam flashcards directly into long-term memory via monitor electromagnetic signals, letting users skip reviews using a "Beam it!" deck option.
Displays a GitHub-style yearly review heatmap under the deck list, with hover details, clickable days opening cards in the Browser, live streak and retention stats, themes, and customization.
Inserts synthetic review log entries for chosen dates, with configurable deck, card text, day start, timing, and spacing, so heatmaps and statistics show restored streaks.