Difference between revisions of "Mnemosyne"

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[[Category:Applications]]
 
[[Category:Applications]]
[http://mnemosyne-proj.org Mnemosyne] is an open-source, cross-platform flashcard program that uses a [http://en.wikipedia.org/wiki/Spaced_repetition spaced repetition] algorithm for maximizing learning efficiency.
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[http://mnemosyne-proj.org Mnemosyne] is an open-source, cross-platform flashcard program that  
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uses a [[wikipedia:Spaced_repetition|spaced repetition]] algorithm for maximizing learning efficiency.
  
 
It is inspired by the proprietary [http://www.supermemo.com SuperMemo] and comparable to [[Anki]], but with a stronger focus on a minimalist, distraction-free UI and simple but flexible work-flow.
 
It is inspired by the proprietary [http://www.supermemo.com SuperMemo] and comparable to [[Anki]], but with a stronger focus on a minimalist, distraction-free UI and simple but flexible work-flow.
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Unofficial Mnemosyne packages are available in the [[Arch User Repository]]:
 
Unofficial Mnemosyne packages are available in the [[Arch User Repository]]:
 
* {{AUR|mnemosyne}} (latest stable version)
 
* {{AUR|mnemosyne}} (latest stable version)
* {{AUR|mnemosyne-bzr}} (latest development snapshot from trunk)
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* {{AUR|mnemosyne-bzr}}{{Broken package link|package not found}} (latest development snapshot from trunk)
  
 
===Manual Installation===
 
===Manual Installation===

Latest revision as of 08:29, 31 March 2018

Mnemosyne is an open-source, cross-platform flashcard program that uses a spaced repetition algorithm for maximizing learning efficiency.

It is inspired by the proprietary SuperMemo and comparable to Anki, but with a stronger focus on a minimalist, distraction-free UI and simple but flexible work-flow.

Mnemosyne is written in Python 2 and uses the Qt toolkit.

Installation

Installing from AUR

Unofficial Mnemosyne packages are available in the Arch User Repository:

Manual Installation

For manual compilation and installation, you can get a tarball from the official download page and follow the instructions in the accompanying README file.

Configuring

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 ~/.config/mnemosyne/config.py.

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"

Other Resources

The Mnemosyne website offers:

See Also

  • Anki - another open-source flashcard program using spaced repetition