MayaVi is a free, cross platform, easy-to-use scientific data visualizer. It provides a powerful GUI to ease the visualization process. It is written in Python and uses the Visualization Toolkit (VTK) for the graphics. MayaVi can be scripted from other Python programs and also from the interactive Python interpreter. MayaVi includes the VTK Pipeline browser. The VTK Pipeline browser is a Python module (vtkPipeline) that enables one to view and configure the objects in the VTK pipeline graphically with a Tkinter-based GUI. The browser should work for any Python script that uses VTK. MayaVi also provides classes to pickle a VTK object and a simple class documentation browser.
Berkeley DB XML is a native XML database engine for use within your product. Made available as a C++ library with language bindings for Java, Perl, Python, PHP, and Tcl, it integrates directly into your application (it is not a standalone database server). It provides XQuery access into a database of document containers. XML documents are stored and indexed in their native format using Berkeley DB as the transactional database engine.
PyORBit is a Python binding for the ORBit2 CORBA ORB. It was developped to suit the needs of the bonobo bindings in GNOME-Python, but is usable for other purposes as well. It aims to follow the standard Python language mapping for CORBA. It can generate stubs at runtime from typelibs, IDL files, or by introspecting remote objects using ORBit2's IModule typelib capabilities.
python-jabberbot is a Jabber bot framework for Python that makes it easy to write simple Jabber bots. One can use these Jabber bots to provide information about running systems, to make Web sites interact with Jabber-enabled visitors, or notify the bot owner about updates or changes that are monitored with custom Python scripts.
Pylint is a lint-like tool for Python code. It performs almost all the verifications that pychecker does, and additionally can perform some stylistic verification and coding standard enforcements. The checked code is assigned a mark based on the number and the severity of the encountered problems. The previous mark of a given piece of code is cached so that you can see if the code quality has improved since the last check.