At the first meeting of the users of the temporal network and path analysis library Pathpy, aka Pathpy User Group, users of the software have been shown several new and upcoming features of the software.
The main developer and driving force behind the project, Prof. Ingo Scholtes, has provided a historical overview and genesis of the project.
He explained how in 2011 he got the idea and started development as a personal research project, and later got financial support from the MTEC department at ETH to flesh out the project.
Prof. Scholtes also highlighted the valuable contributions from the SG team both for the theoretical foundations of the temporal network framework, the contributed code as well as the outstanding work by his Team.
Now the package, a full fledges data analysis tool, is used by hundreds of researchers and students taking courses at both ETH and University of Zurich.
At the event the core development teams has announced that given the applications and interest in the package for industry, machine learning, general researcher and teaching, the work on the next major version of Pathpy 3 has begun.

After a delightful Apero, current user in an open discussion have provided feedback and thoughts on their usage of pathpy and which data and research questions they are tackling with it.
The discussion along with a preliminary survey on the usage and pain points has been a treasure trove of positive and constructive feedback.
The most important takeaway from the discussion was that pathpy is unique in its philosophy to put the "Path" concept front and centre and that a lot of data naturally fits into this approach.
Given this unique and distinguishing capability the focus for future development of the package is to be the "one-stop shop for path and temporal network analysis".
While it should provide the most important classical network analysis procedures (e.g. centrality calculations, shortest paths) the focus of development will be on providing the best possible experience for temporal and path analysis needs.

The event would not have been possible without the users, who devoted their time, and the administrative and culinary support by the SG team.
The organisers would like to thank all participants.