KDevelop is an integrated development environment which makes the creation and development of applications an easy task even for beginners. Highlights of the current release are: an application wizard for easy creation of KDE 4, Qt4, GNOME, and terminal C/C++ projects, full project management, a syntax-highlighting editor, code completion, an integrated dialog editor for the Qt/KDE GUI libraries, an internal debugger, a full-featured class browser with class tools, CVS and SVN support, an integrated HTML-based help system offering manuals and class-references, and extensive search mechanisms to browse sources and documentation.
Activity Manager is a project management tool that is simple to use, lightweight, and very efficient and customizable. It features collaborators repository administration, tasks repository administration, contributions management (activity management), and an extensible report facility (with built in templates). It allows you to build and maintain a hierarchical task tree. It is based on a database with a very simple model that allows quickly building custom reports through the report facility or through simple SQL requests.
Libgda is a (relatively small) database access library. It provides a wrapper like ODBC but with more features for accessing several database engines, a general data model for use with CSV or XML files, a metadata extractor that retrieves information about database objects in a common way, and a SQL console application (like mysql, psql or sqlite3 consoles).
Wally is a Qt4 wallpaper changer using multiple sources like files, folders, FTP remote folders, Flickr, Yahoo!, Panoramio, Ipernity, Photobucket, Buzznet, Picasa, Smugmug, Google, Vladstudio, and deviantART images. It is available in many languages. Supported Linux window managers are GNOME, GnomeShell, KDE3, KDE4, XFCE4, BlackBox, FluxBox, Window Maker, and FVWM (experimental).
PyGUI is a GUI API which is designed specifically for Python, taking advantage of Python's unique language features and working smoothly with Python's data types on the three major platforms (Unix, Macintosh, and Windows) that are small and lightweight, interposing as little code as possible between the Python application and the platform's underlying GUI facilities, and not bloating the Python installations or applications which use them.