Eric is a full featured Python and Ruby editor and IDE, written in Python. It is based on the cross platform Qt GUI toolkit, integrating the highly flexible Scintilla editor control. It is designed to be usable as an everyday quick and dirty editor as well as being usable as a professional project management tool, integrating many advanced features that Python offers the professional coder. Eric includes a plug-in system, which allows easy extension of the IDE functionality with plug-ins downloadable from the net. Current stable versions are Eric4 based on Qt4 and Python 2 and Eric5 based on Python 3 and Qt4.
Veusz is a scientific plotting package, designed to create publication-ready Postscript, PDF, or SVG output. It features an easy to use graphical interface as well as a command line interface and can be scripted or embedded in Python scripts. Graphs are constructed in a modular fashion from separate components. Datasets can be interactively modified or created from within the program.
Unibas is a program (a "fat client" of PostgreSQL) to manage frequently used entity types. Its mission is to create a relational database that is both human- and machine-readable (semantic) to collect data about people, documents (books, songs, movies, etc.), products (CDs, DVDs, etc.), fictional characters, events, places and other entities for personal and collective use. It features complete archive management. You get a document (text, image, music, video) from somewhere (e.g. from the Internet) and tell Unibas to take care of it. Unibas does the rest. Album management: CDs can be lost or destroyed by scratches or heat. Unibas makes it easy to back them up, including most of the metadata (composers, artists, titles, etc.). Organize your knowledge in a tree structure like most modern scientific books, yet extended over the complete human knowledge. Link your knowledge with existing knowledge in the tree and with external documents. Tap the many human-readable sources on the Internet and put their content in an ordered, machine-readable, semantic form. Explain words in a dictionary through well understood language-agnostic notions.