AnkiWeb
- Votes
- 0 (👍 0 · 👎 0)
- Updated
- 2026-10-26
- Anki versions
- 26.09.3~
- Languages
- Python, JSON
- Description language
- en
AnkiWeb addon 208821342
Calculates daily new-card targets and study-time estimates for deck, tag, or search goals, then budgets remaining time for regular reviews and overdue-card catch-up forecasts.
Open on AnkiWeb Ask about alternatives
active
No GitHub repository linked.
| Min Anki | Max Anki | Updated |
|---|---|---|
| 2.1.0 | 26.09.3+ | 2026-10-26 |
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Plans new-card introduction toward a deadline and forecasts card maturation, tracking progress against milestones with consistency metrics and actionable study advice.
Adds AnKing-specific study analytics, weakness trackers, a daily exam planner, per-card stats, risk sorting, and browser tools for targeting and unsuspending cards.
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.
Estimates daily review time by deck, adjusts for fatigue and retention, splits sessions into 30-minute morning, afternoon and evening blocks, simulates faster speeds, and allows excluding decks.
Adds a panel showing days left until an exam and statistically estimated study time, configured per deck via the settings icon.
Monitors card activity during Anki reviews to pause or restart a configurable Pomodoro focus timer, show study stats, plan decks around exam dates, and optionally sync sessions.
Know how much new material to study each day—and how much overdue work fits afterward.
Deadline Planner turns a deck, tag, or Anki search into a daily new-card target and estimated study time. A separate review budget shows what remains for current reviews and overdue cards.
Choose a deadline, new-card study days, and an optional review-only buffer. See today's full new-card target, progress, remaining work, and estimated time. Your daily study budget never reduces the new-card requirement: insufficient time is shown explicitly.
Estimates use your recorded study history, including repeated answers on a new card's first day. Timing details distinguish learning, review, and relearning speeds. Sparse history uses collection data or labeled fallback assumptions. A configurable allowance adds time beyond recorded answers.
Overlapping goals count shared cards once in the combined workload, assigning them to the earliest effective deadline. Each goal can include suspended new cards; this option is off by default. Included cards remain suspended until you manually unsuspend them.
Set your daily study budget. The planner deducts estimated time already spent and unfinished deadline work, then reserves time for today's regular reviews and learning. Remaining time becomes an overdue-card target.
See ordered subdeck targets: finish a subdeck's available overdue cards, then complete a specified number from the next. Choose a starting subdeck, or use rotating timed blocks. Browse the proposed cards or open a subdeck directly.
Compare catch-up forecasts for different daily budgets. The forecast allows for projected returning reviews and future new-card work. If clearance falls outside the forecast window, the planner says so. A separately labeled “at today's rate” estimate excludes future returning reviews.
The widget defaults to the top of the deck list; its position is configurable. Prefer stable deck/tag scopes over a state-dependent search such as is:new.
Version 0.4.0. Tested on Anki Desktop 26.09.3, Qt 6.11.2, macOS arm64. Other platforms and Anki versions have not been verified.
Requires no other add-on and makes no network requests. Goals and settings stay local to the Anki profile and do not sync to AnkiWeb, AnkiMobile, or AnkiDroid. MIT licensed.
Keep only one copy of Deadline Planner enabled. Before switching to the AnkiWeb-distributed version, back up the old add-on's user_files folder and disable that copy. Install this version, quit Anki, and copy your goal/settings JSON files into the new add-on's user_files folder. Back up any existing destination files before replacing them. Restart and verify your goals before removing the old copy. The new AnkiWeb folder uses the numeric add-on code.