AnkiWeb addon 809246272
Generates an HTML dashboard summarizing daily, weekly, or monthly study sessions with retention, FSRS metrics, SVG growth graphs, narrative insights, and optional LLM-generated reflections from local collection data.
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| Min Anki | Max Anki | Updated |
|---|---|---|
| 2.1.1 | + | 2026-05-22 |
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Tracks daily reading, listening, speaking, and writing practice, sets monthly goals, organizes learning resources, visualizes fluency balance with radar charts, and supports separate profiles for multiple languages.
Analyzes recently missed cards from a chosen deck and time window, using an OpenRouter API key to summarize weak areas and suggest card improvements.
Provides a detailed analytics dashboard for Anki review history, including heatmaps, retention, consistency, efficiency scores, trends, session and lapse analysis, and time-range filters.
Tracks study time per deck with daily, weekly, monthly, and yearly statistics, detailed tables, filterable deck selection, interactive charts, and HTML export.
Displays deck-browser graphs of answer speed versus retention, a learning forecast, and new-card counts with time-remaining estimates.
Embeds an AI tutor and study dashboard into Anki's review screen, generating explanations, quizzes, comparisons, and study guides from cards and uploaded files.
Anki Reflect – Narrative study session & FSRS insights
Anki Reflect turns your daily or weekly reviews into a rich, narrative report you can actually read and learn from. It analyzes your local collection and generates a beautiful HTML dashboard with key stats, FSRS metrics, and growth graphs – all directly inside Anki.
Anki Reflect
Open Tools → Add-ons → Anki Reflect → Config to adjust:
report_scope: today, week, or monthmature_threshold_days: when a card counts as “mature”graph_theme: dark or lightllm_enabled and provider/model/API key for optional AI‑generated narrative paragraphsEverything runs on your local data; LLM calls are only used if you explicitly enable them and provide a key.
A narrative-driven Anki add-on that generates rich, personalized study session reflections — with FSRS metrics, retention trends, and animated growth graphs.
Anki Reflect hooks directly into your local database (mw.col.db) to analyze your daily or weekly study sessions, generating conversational insights and high-quality charts completely offline with zero binary dependencies.
| Feature | Details |
|---|---|
| 📊 Session Overview | Cards reviewed, time spent, avg speed, comparison to previous period. |
| 🎯 Retention Analysis | Mature card retention %, correct/total breakdown, and a visual HTML/SVG ring chart. |
| 🔁 Lapse Tracking | "Again" press rate with contextual narrative commentary. |
| 🧠 FSRS Metrics | Median stability, mean difficulty, Estimated Total Knowledge (expected recall count), and struggling card % |
| 📈 Growth Graphs | Pure Python SVG graphs (Mature Card Growth, Daily Review Volume, FSRS Stability Distribution). Fully responsive and crisp on Retina/High-DPI screens without requiring matplotlib or compiling C-extensions. |
| 💡 Narrative Insights | Offline, deterministic Python template engine generating conversational, personalized reflections. |
| 🤖 Optional LLM | Plug in an OpenAI or Anthropic key in the config to receive AI-generated narrative reflections. |
| ⬇️ Export | Save your study reflections as a standalone HTML file. |
If you've cloned this repository directly into your Anki add-ons folder, or have symlinked it:
# Symlink this folder into Anki's add-ons directory
ln -s "$(pwd)" ~/Library/Application\ Support/Anki2/addons21/anki_reflect
# (Linux: ~/.local/share/Anki2/addons21/anki_reflect)
# (Windows: %APPDATA%\Anki2\addons21\anki_reflect)
Restart Anki to load the add-on.
Once loaded, go to Tools → Generate Session Reflection in your Anki menu.
The report will display in a beautiful, dark-mode glassmorphic interface:
Settings can be changed by going to Tools → Add-ons → Anki Reflect → Config:
{
"report_scope": "today",
"mature_threshold_days": 21,
"graph_theme": "dark",
"llm_enabled": false,
"llm_provider": "openai",
"llm_api_key": "",
"llm_model": "gpt-4o-mini"
}
report_scope: "today", "week", or "month".mature_threshold_days: The interval threshold (in days) at which a card is classified as mature.graph_theme: Choose "dark" or "light" to match your system aesthetics.llm_enabled: Enable to generate narrative paragraphs via OpenAI/Anthropic. Requires a valid API key.See config.md for more details.
.
├── __init__.py # Entry point — registers menu action & hooks
├── manifest.json # Anki add-on metadata
├── config.json # Default user config
├── config.md # Config documentation (rendered inside Anki)
├── _version_info.py # Version specification
├── data/
│ ├── queries.py # SQL queries targeting mw.col.db
│ └── fsrs_metrics.py # FSRS parsing and stats calculation
├── report/
│ ├── builder.py # Report orchestration pipeline
│ ├── graphs.py # Offline Python SVG graph generator
│ ├── insights.py # Conditional narrative engine & LLM api client
│ └── templates/
│ ├── report.html.j2 # Jinja2 HTML report template
│ └── styles.css # Premium glassmorphic styles
└── ui/
├── menu.py # Action hooks
└── dialog.py # PyQt WebEngine window
MIT © Mohammad Hemmati