progress-bar
Anki-Android
progress-bar | Anki-Android | |
---|---|---|
2 | 229 | |
466 | 7,882 | |
- | 1.7% | |
0.0 | 9.9 | |
about 1 year ago | 3 days ago | |
Python | Kotlin | |
MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
progress-bar
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Any tips to organise 2000 notes imported from elsewhere?
Or you can just copy this: ![progress-bar](https://progress-bar.dev/50/) and change the number to change the percentage. This is generated from a GitHub site: https://github.com/fredericojordan/progress-bar
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Finally managed to put a status bar in my digital bookshelf
Here's what it'd look like as a quotation; not as nice, but easily readable. Also looks like the star of the show is a very neat find! I certainly appreciate knowing about this project!
Anki-Android
- Anki – Powerful, intelligent flash cards
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FSRS: A modern, efficient spaced repetition algorithm
Yes, but on Android you currently have to sideload the 2.17 alpha from this page: https://github.com/ankidroid/Anki-Android/releases
- The Ultimate Anki Deck for Ophthalmology Residents and Students - Blue Ophthalmology V7
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Students fails to import a shared deck
If that fails, report an issue, including debug information and the deck: https://github.com/ankidroid/Anki-Android/issues/new/choose
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When is Ankidroid releasing 2.17? I can’t try FSRS because they haven’t release to Playstore
But you can just download the testing version from the links to github on the site. https://github.com/ankidroid/Anki-Android/releases
- FSRS for AnkiDroid is out! (2.17alpha2)
- Is there a old version of anki apk that notification still work?
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In the 1st anniversary of FSRS, I want to share some progress of recent works.
Good news again, AnkiDroid has completed its Rust backend update. FSRS will be supported in AnkiDroid in 2.17.
- Change profiles on AnkiDroid
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AnkiDroid 2.16.3 released
GitHub: https://github.com/ankidroid/Anki-Android/releases
What are some alternatives?
Beautify-Anki - An Anki addon that attempts to give Anki's deck browser and deck overview pages a material design look.
ForgetMeNot - A flashcard app for Android.
anki-mc - Multiple choice questions for Anki.
mnemosyne - Mnemosyne: efficient learning with powerful digital flash-cards.
anki-stats - Python package to make it easier to analyse an anki database.
anki - Anki's shared backend and web components, and the Qt frontend
incremental-reading - Anki add-on providing incremental reading features
speed-focus-mode - Speed Focus Mode add-on for Anki
ProgressBarTimeLeft - Hello, this is my first "add-on" (which isn't really by me since I just tweaked/merged Glutanimate's Progress Bar add-on with Carlos Duarte's More Decks Stats and Time Left add-on.). I basically got the progress bar to work on 2.1.49, as well as added statistics for cards left, percentage left, time (s) spent per card based on today's reviews, and time left based on how fast you've done today's reviews. Note: it says studied 637 cards in 1.36 hours today (7.67 s/card) but that's not reflected in the progress bar because I did those reviews on iPad. Also, the progress bar only tracts reviews in your current anki session. If you restart the app, it'll reset to 0 cards done (but the total cards left will be less already). I have not tested this on any other version besides 2.1.49, but I just wanted to share it since it took me a while to get this working and I'm very proud of it (and am hugely thankful to Glutanimate and Mr. Duarte). Installation: Unzip them and paste them in C:\%APPDA
mooc-java-programming-i - University of Helsinki’s free massive open online course (MOOC) completed exercises. 2020 solutions
fsrs4anki - A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm