PyGObject 3.1.1 released

I am pleased to announce version 3.1.1 of the Python bindings for GObject. This is a bug fix release of the unstable branch, which will eventually result in the stable 3.2.x series.


sha256sum: ae6da0f95c0d6b93694191133a3b046f7811ba047e3bd5e9c13c9e6907f71515


  • Add test for GPtrArray with transfer full (Martin Pitt)
  • Drop obsolete g_thread_init() (Martin Pitt)
  • Fix deprecated g_source_get_current_time() (Martin Pitt)
  • Fix deprecated g_value_[gs]et_char() (Martin Pitt)
  • Make correctly convert gtk.gdk.x11_* (Simon Schampijer)
  • Raise required glib version to 2.31 because of g_value_(get|set)_schar (Sebastian Pölsterl)
  • Fix cset_first typo (Dieter Verfaillie)
  • pygi-convert: Handle Clutter and Cogl (Bastian Winkler)
  • Provide access to gpointer struct values (Cédric Krier)
  • Add some GType tests (Paolo Borelli)
  • Split GStrv and array variant tests in their own classes (Paolo Borelli)
  • Add unit test for builder’s connect_after (Paolo Borelli)
  • fix GtkBuilder signal connection ‘after’ logic (Ryan Lortie)
  • pygspawn: improve error checking (Ryan Lortie)


About PyGObject

GObject is a object system used by GTK+, GStreamer and other libraries.

PyGObject provides a convenient wrapper for use in Python programs when accessing GObject libraries.

Like the GObject library itself PyGObject is licensed under the GNU LGPL, so is suitable for use in both free software and proprietary applications. It is already in use in many applications ranging from small single purpose scripts up to large full featured applications.

PyGObject now dynamically accesses any GObject libraries that uses GObject Introspection. It replaces the need for separate modules such as PyGTK, GIO and python-gnome to build a full GNOME 3.0 application. Once new functionality is added to gobject library it is instantly available as a Python API without the need for intermediate Python glue.

Sebastian Pölsterl
AI Researcher

My research interests include machine learning for time-to-event analysis, causal inference and biomedical applications.