AnkiWeb
- Votes
- 0 (👍 0 · 👎 0)
- Updated
- 2026-10-31
- Anki versions
- 2.1.1~
- Languages
- Python, JSON
- Description language
- en
AnkiWeb addon 468518773
Tracks active study time, away periods, and distractions, predicts session durations, redistributes piled-up reviews, and visualizes daily goals and efficiency heatmaps.
Open on AnkiWeb Ask about alternatives
active
No GitHub repository linked.
| Min Anki | Max Anki | Updated |
|---|---|---|
| 2.1.1 | + | 2026-10-31 |
Loading…
Predicts remaining study time and finish time using an offline machine-learning model, with customizable progress displays, metrics, CSS styling, and fatigue alerts.
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.
Adds collapsible sidebars to Anki featuring AI card assistance, to-do lists, notes, exam countdowns, timers, a stopwatch, and quick filtered-deck creation for medical study.
Provides a detailed analytics dashboard for Anki review history, including heatmaps, retention, consistency, efficiency scores, trends, session and lapse analysis, and time-range filters.
Automatically tracks study sessions and displays daily, deck, and historical review-time statistics with efficiency estimates, integrating with Review Heatmap (required) and offering customizable panels.
Visualizes study activity, streaks, upcoming reviews, and new-card learning on a heatmap, with configurable workload, time, and FSRS-based scoring plus selectable date-range statistics.
Most recent version: 5.1.3
Rebalance — Core Features Rebalance is an Anki productivity add-on designed to help students study smarter, manage their time, minimise distractions, and build consistent revision habits through personalised learning analytics.
Study & Distraction Tracking Automatically tracks active study time, time spent away from Anki, and periods of inactivity (AFK). Features a customisable inactivity threshold and optional automatic timer resumption.
Personalised Study Predictions Estimates how long study sessions will take based on historical learning speed, allowing users to set targets for new cards and reviews with predicted completion times.
Learning & Distraction Economy Measures two key productivity metrics:
Learning Economy: Average active study time per unique card.
Distraction Economy: Average distracted time per card.
Tracks changes in both metrics to help users understand how their efficiency evolves.
For when the reviews stack up after you missed lots of days… Cards can stack up and leave you with thousands of reviews. Redistribute selected decks/Anki cards evenly across a chosen number of days, prioritising recently learned and immature cards to create a more manageable revision schedule.
Custom Study Sessions Create, name, pause, resume, and end individual study sessions. Set study targets, record intentions, take timed breaks, and receive detailed session summaries comparing predicted and actual performance.
Daily Goals & Heatmaps Visualise revision consistency through two activity heatmaps:
Blue: New cards learned each day, with gold borders when daily goals are achieved.
Green: Reviews completed each day.
Navigate between academic years to monitor long-term study habits.
Rebalance Profiles Organise decks into separate profiles, such as Medicine or Languages, each with independent learning analytics and study predictions.
Integrated Productivity Dashboard A compact Anki dashboard displays live session statistics, daily totals, study and away timers, new cards learned, reviews completed, and progress towards study targets.