Process Analytics — April 2023 News

Process Analytics
2 min readMay 4, 2023
Cover photo by James Wheeler on Unsplash

Welcome to the Process Analytics monthly news 👋.

Our “always” reminder: The goal of the Process Analytics project is to provide a means to rapidly display meaningful Process Analytics components in your web pages using BPMN 2.0 notation and Open Source libraries.

In this edition, you’ll find the details of the new bpmnVisualizationR package release and a refresh of the bpmn-visualization demo integrating with pm4py. 🤗 We’re always looking for ways to improve your workflow, so read on for more details on these exciting developments!

bpmnVisualizationR package

In April, we released a new version: 0.4.0. This new version allows you to choose the style and position of the overlays.

In earlier versions, the style and the position of the overlays were not configurable.

Display overlays with default position and style
Display overlays with default position and style

Now, it is possible to change the position and the style of the overlays, like in the following screenshot 👇:

Display overlays with a position and style change
Display overlays with a position and style change

Improvements in the bpmn-visualization pmp4py demo

Before pm4py 2.6.1, it was not possible to obtain statistics about the edges of the Petri net corresponding to the sequence flows of the BPMN diagram. This is a recurrent problem in the Process Mining community and a correction has been made in pm4py 2.6.1: pm4py/pm4py-core@84e85c6.

The demo has been updated to benefit from the fix and it is now able to display execution frequency on the sequence flows of the BPMN diagram 🥳.

Display execution frequency on sequence flows
Display execution frequency on sequence flows

That’s All Folks!

We hope you enjoyed this “edgy” April project news and are looking forward to what the rest of the spring will bring 👋.

In the meantime, stay on top of the latest news and releases by following us:

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Process Analytics

Rapidly display meaningful Process Analytics components in your web pages using BPMN 2.0 notation and Open Source libraries. https://process-analytics.dev/