bpmn-visualization-R VS bpmn-visualization-pm4py

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.

We released an integration example between bpmn-visualization and the state-of-the-art process mining library pm4py. This integration means you can perform process mining and visualize the results on BPMN models. You can watch the video showcasing the integration example on our youtube channel.