flashcards.nvim VS apy

Compare flashcards.nvim vs apy and see what are their differences.

flashcards.nvim

A Neovim plugin for Flashcards written in Lua (by alex-laycalvert)

apy

CLI script for interacting with local Anki collection (by lervag)
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flashcards.nvim apy
2 14
25 209
- -
10.0 8.5
over 1 year ago 22 days ago
Lua Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

flashcards.nvim

Posts with mentions or reviews of flashcards.nvim. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-05.

apy

Posts with mentions or reviews of apy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-05.

What are some alternatives?

When comparing flashcards.nvim and apy you can also consider the following projects:

scribe.nvim - An easy note taking plugin

anki - Anki's shared backend and web components, and the Qt frontend

notepad.nvim - quick-notes.nvim

gruvbox - Retro groove color scheme for Vim

appscura - Curated collection of productivity apps.

anki.nvim - Neovim plugin that allows creation of Anki cards directly from neovim

YANP - Notetaking plugin that supports recurring topics structure and customisable syntax.

genanki - A Python 3 library for generating Anki decks

dotfiles - My Personal Dotfiles

Python-Query-Oxford-API-for-Anki - Query scripts using the Oxford API, intended to be used with Anki.

orgWiki.nvim - A plugin that adds wiki and diary extension to orgmode filetype

algo-drills - A command line tool for memorizing algorithms in Python by typing them.