Process Analytics - January 2023 News

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
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  • bpmn-visualization-js

    A TypeScript library for visualizing process execution data on BPMN diagrams

  • 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 πŸ”—. 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.

  • bpmn-visualization-pm4py

    Example of integration between bpmn-visualization and pm4py

  • 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.

  • SurveyJS

    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

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  • bpmn-visualization-R

    A R package for visualizing process execution data on BPMN diagrams

  • 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.

  • pm4py-core

    Public repository for the PM4Py (Process Mining for Python) project.

  • 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 πŸ”—. 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.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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