Privacy Badger automatically learns to block invisible trackers

webext-privacy-badger

Privacy Badger automatically learns to block invisible trackers

Instead of keeping lists of what to block, Privacy Badger learns by watching which domains appear to be tracking you as you browse the Web. Privacy Badger sends the Do Not Track signal with your browsing. If trackers ignore your wishes, your Badger will learn to block them. Privacy Badger starts blocking once it sees the same tracker on three different websites. Besides automatic tracker blocking, Privacy Badger removes outgoing link click tracking on Facebook, Google and Twitter, with more privacy protections on the way. To learn more, see the FAQ on Privacy Badger's homepage.
graphical SQL report writer, designer and rendering engine

openrpt

graphical SQL report writer, designer and rendering engine

Graphical SQL report writer, designer and rendering engine, optimized for PostgreSQL. WYSIWYG display, GUI built with Qt. Reports can be saved as XML, either as files or in a database.
display the output of "du" in an X window

xdu

display the output of "du" in an X window

XDU is a program for displaying a graphical tree of disk space utilization as reported by the UNIX utility "du". You can navigate up and down in the tree, sort things, and print out information.
main window of live-clone; all tools are in the top toobar

live-clone

GUI to clone and manage Live-Build USB sticks

This application allows one to make bootable USB sticks from an iso-hybrid image issued by Live-Build. It adapts additionally a persistence partition to use the free space on the USB stick.
Common files for GtkMenuShell D-Bus exporter

unity-gtk-module-common

Common files for GtkMenuShell D-Bus exporter

Adaptive Sampling Kit for big experimental spaces

ask

Adaptive Sampling Kit for big experimental spaces

Adaptive Sampling Kit (ASK) is a toolkit for sampling big experimental spaces. When the space is small, the response can be measured for every point in the space. When the space is large, doing an exhaustive measurement is either not possible in terms of execution time or simply not practical. ASK tries to find good approximations of the response by sampling only a small fraction of the space. ASK features multiple active learning algorithms to prioritize the exploration of the interesting parts of the experimental space.