AnkiWeb
- Rating
- 0 (👍 0 · 👎 0)
- Updated
- 2025-12-22
- Anki versions
- 25.09.2~
- Description language
- en
AnkiWeb addon 1300169603
Automatically tags notes by real review performance—lapses, interval, ease—using configurable VeryHard to VeryEasy labels to find hard or too-easy cards fast.
Open on AnkiWeb GitHub Ask about alternatives
stale
| Min Anki | Max Anki | Updated |
|---|---|---|
| 25.09.2 | + | 2025-12-22 |
Loading…
Gathers card difficulty and ease scores by tag, displaying a table and color-coded graph to spot challenging topics and mastered subjects.
Automatically tags notes that lack images and contain configurable keywords, helping you systematically add visuals and clean up tags afterward.
Combines multiple decks into non-destructive cram sessions with filters, interleaving, timers, diagnostics, and cheatsheet export for exam revision.
Saves Anki deck settings to dated, tab-separated files in your home directory for backup or sharing, excluding Filtered Decks.
Syncs selected card statistics into mapped note fields per deck, skipping notes whose cards conflict and working locally.
Exports collection metadata, deck summaries, optional per-card scheduling and full review log to one JSON file for external analysis.
🔗 AnkiWeb
https://ankiweb.net/shared/info/1300169603
Anki Difficulty Tagger automatically assigns difficulty tags to cards based on your review behavior.
Instead of manually tagging cards as “easy” or “hard”, this add-on analyzes your answers and applies tags consistently.
It is designed to help you:
This keeps difficulty information always in sync with your actual performance.
Difficulty tags allow you to:
tag:hardtag:easyUnlike static tags, these tags evolve with your learning.
👉 https://ankiweb.net/shared/info/1300169603
Download or clone this repository
Place it in:
Anki2/<profile>/addons21/anki-difficulty-tagger/
Restart Anki
Open:
Tools → Add-ons → Anki Difficulty Tagger → Config
Available options include:
Settings are applied automatically during normal reviews.
You can then use the Browser to:
MIT License
Created by @yuwayanagitani
These add-ons can be combined to build a data-driven Anki workflow.