Jiffy caches information about files and folders on your hard disk to allow fast lookups. My attempt to figure out the fastest cross-platform search tool Python can provide.

• scandir is currently required on Python < 3.5 (Part of the standard library as of 3.5):

pip install scandir

• Python 3 ditched bsddb, so, on Windows, it only supports dumbdbm. dumbdbm sucks, so Jiffy tries to use a better Python based key-value storage on Python 3/Windows - the very nice semidbm:

pip install semidbm

Windows 8.1/ 10, Linux Mint 18.1 Under: Python 2.7/3.5

Jiffy uses generic standard library Python functions for almost all its operations (except opening a file with its default app). I suspect/hope it runs almost anywhere Python can be installed. Feedback is welcome.

• Hit F5 to generate the database for the first time. Update it with F5.
• Type in names, parts of names, extensions etc. separated by spaces for lookups.
• Double click on press Enter after choosing the desired file to open it.
• You can adjust the font size with Ctrl + +/- , or Ctrl + scrollwheel.
• Alt-F4 to exit.

coming up, having some trouble with Peek

• Filetype icons on the various platforms.
• Unicode support
• Use the USN journal for updates on Windows/NTFS
• Faster dictionary lookups
• The BIG feature
• Add a slicker GUI with Kivy, tkinter as a backfall
• Check LMDB as an alternative storage.
• Figure out how to mark out lines on Github

• Lookups take a few seconds for sparse results, I would like them to have real time speed. Feel free to pitch in or offer any assistance.
• Ideas for speeding up the database creation, preferably in a cross-platfrom way, are quite welcome.

The code in this repository is in the public domain.