Mnemosyne is written in Python 2 and uses the Qt toolkit.
Installing from AUR
For manual compilation and installation, you can get a tarball from the official download page and follow the instructions in the accompanying README file.
Most of the options in Mnemosyne are available directly in the user interface. A few infrequently-used options are accessible through a config file located at
Size of mathematical formulae
If you would like to decrease the rendering resolution of mathematical formulae (default 200 dpi, which is rather large on most screens) to better fit with normal text, open the file
~/.config/mnemosyne/config.py and decrease the number following the -D option in the line that looks like:
dvipng = "dvipng -D 200 -T tight tmp.dvi"
The Mnemosyne website offers:
- Anki - another open-source flashcard program using spaced repetition