Anki add-on: 💾[PDF, CSV, HTML] Study Habits Report📈📊

Study Habits Visualizer Description Study Habits Visualizer is an Anki add-on that reads your existing review history to generate a comprehensive, multi-section PDF or interactive HTML report packed with visualizations, statistical summaries, and behavioral insights[cite: 19]. Anki tracks every review you do [cite: 9], but this add-on actually makes that data useful by helping you optimize when and how you study[cite: 9, 12]. Why is this awesome? Deep Behavioral Insights: Uncover your time-of-day performance patterns [cite: 36, 67], day-of-week heatmaps [cite: 37], and track your consistency and streaks[cite: 39, 72]. Session & Fatigue Tracking: Automatically detects your study sessions without manual logging [cite: 75], and correlates session length with your retention rate to map out your personal fatigue arc[cite: 41, 76]. Predictive Simulations: Answer "what if" questions by modeling the impact of moving reviews to your peak performance window [cite: 45, 82], or simulating the effect of a 1-week, 2-week, or 1-month break on your due pile[cite: 83]. Pattern Detection: Automatically flags cramming behavior [cite: 44, 79] and burnout risks based on review volume trends so you can catch unsustainable patterns early[cite: 80]. 100% Private & Offline: The report is generated entirely offline with zero external API calls [cite: 22, 26], ensuring no data ever leaves your local machine[cite: 32]. Who is it for? This add-on is highly valuable for: Medical students needing to audit 6-12 months of STEP prep habits[cite: 24]. Language learners and self-improvement users looking to track consistency and time-of-day performance[cite: 24]. Power users who want to optimize their scheduling around personal performance peaks[cite: 24]. Getting Started Easily configure your report by accessing the add-on via Tools > Study Habits Visualizer > Generate Report [cite: 91]. From the configuration dialog, you can filter by date range, specific decks, or tags [cite: 95], and choose your preferred output format (PDF or HTML)[cite: 63, 95]. Please email ropzflorr@gmail.com for editing or go to the support page https://support.rmskor.space/ , Ankiweb does notify me for reviews.