On behalf of the Zeitgeist team I am proud to announce the release of
Zeitgeist 0.6 `Buzzer Beater`.
What is Zeitgeist?
Zeitgeist is a service which logs the users’s activities and events,
anywhere from files opened to websites
visited and conversations, and makes this information readily
available for other applications to use. It is also
able to establish relationships between items based on similarity and
New since 0.5.2
Engine: - Added 'zeitgeist-integrity-checker.py' tool to check the integrity of an activity log. - optimization of ZeitgeistEngine.find_related_uris() by using a different algorithm. - Improved database updates (LP: #643303, #665607) The updates scripts can now handle versions jumps (e.g from core_n to core_n+4). Database downgrades are also possible if schema version are backward-compatible. - If FindEvents-queries are run over the complete TimeRange intervall don't add timestamp conditions to the SQL statement (LP: #650930) - Improved speed of prefix-search queries by always using the index (LP: #641198) Python API: - Added a bunch of new result types: MostPopularSubjectInterpretation, MostRecentSubjectInterpretation, LeastPopularSubjectInterpretation, LeastRecentSubjectInterpretation, MostPopularMimetype, LeastPopularMimetype, MostRecentMimetype and LeastRecentMimetype. Please see the API documentation for further details (LP: #655164) Daemon: - Code-Improvements to zeitgeist-daemon (LP: #660415). - fixed `--log-level` option of zeitgeist-daemon, library code does not set the log level anymore, the application using the python library has to take care of it. Overall: - 'zeitgeist-datahub' is not part of the zeitgeist project anymore, please use the new datahub implementation written my Michal Hruby as a replacement  (LP: #630593). - Updates to the test suite. - Translation updates (added Asturian and Slovenian, various updates). - Added `make run` target to the rootlevel Makefile (LP: #660423)  https://launchpad.net/zeitgeist-datahub