bpmn-visualization-R VS pm4py-core

Notice that the package has been renamed. Please check out the corresponding release notes to see what changes you need to make in your R project to use the updated package.

In November, we released 2 versions: 0.2.1 and 0.2.2.

We had our first external contribution on the BPMN Visualization - R Package 🥳

As we said previously, the Process Analytics team participated in Hacktoberfest 2022. We opened dedicated issues of all flavors on our various repositories: bpmn-visualization Typescript library, its related examples repository, the project website and the bpmn-visualization R package.

We offered the community the opportunity to work on our cornerstone bpmn-visualization Typescript library, its related examples repository, the project website and the recently released R package.

The new BPMN Visualization - R Package is being developed to offer another way to visualize process execution data in R.

R users 📈 will be interested in bpmn-visualization-R, the R package for visualizing process execution data on BPMN diagrams, using overlays, style customization and interactions.

The Process Analytics team has also started a useful new project/library for the R ecosystem: BPMN Visualization - R Package.

It's a new year 🎊 and what better way to kick off 2023 than with some Process Analytics news! January brought us exciting developments in the world of bpmn-visualization and pm4py integration 🔗. With our team working hard to connect the dots, we’re making bpmn-visualization more accessible and easier to integrate with the Process Mining ecosystem.

I have to rewrite Python's library PM4PY into C#. In fact, not whole library but only "apply" method from /pm4py/algo/discovery/alpha/algorithm.py (https://github.com/pm4py/pm4py-core/blob/release/pm4py/algo/discovery/alpha/algorithm.py).