Welcome to the Process Analytics monthly news 👋.

Our monthly 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.

Apples, pumpkins and colorful leaves 🍂! This October was a fruitful spooky month 🎃. Our participation in the leading Process Mining conference ICPM was a great success 💪. And we worked closely with our hacktoberHeros 🦸 to make their open source contribution a learning and success experience.

Events

Hacktoberfest: Highlights

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 were very lucky to receive some high quality contributions 🏅. We warmly thank our contributors for their interest and for getting in touch with us 🙏.

Hacktoberfest was a great learning experience for us too, as maintainers 👷‍♂️. We enjoyed interacting with people of many different profiles, from students 🧑‍🎓 to experienced developers 👩‍💻.

Stay tuned for an upcoming article dedicated to detailing the contributions and activities related to Hacktoberfest 2022 ✨.

ICPM: Flashback

The bpmn-visualization Typescript library was in the spotlight 🔥 on October 27th at the International Conference on Process Mining (ICPM), the leading conference for process mining experts.

Nour Assy, our developer advocate, presented a live demo to researchers, professionals and practitioners in the field. We were honored by the great interest and the valuable feedback we received from the community 💡.

We will soon publish a report summarizing this fruitful experience and highlighting some of our great moments - stay tuned 😉.

bpmn-visualization JS/TS library

In October, we released 3 versions: 0.27.0, 0.27.1 & 0.28.0.

Easier integration in applications

🔥 The three new releases have gradually made the integration of _bpmn-visualization _easier:

• Version 0.27.0 drops the need for special settings in your tsconfig.json file 🎁. Now, just add bpmn-visualization to your dependencies and start coding.
• Version 0.27.1 fixes a bug that forced a workaround when integrating bpmn-visualization with frameworks like Svelte or Angular 🐛.
• Version 0.28.0 changed the TypeScript requirement from 4.5 to 4.0 🎉. You can now use bpmn-visualization in applications locked with older versions of TypeScript.

For more details, see the related release notes (links available above ☝️).

Demos and examples

We released two demos this month to show the capabilities of the bpmn-visualization library by illustrating different use cases of process analytics.

💡 Test the demos yourself in our live environment.

ICPM demo

This is the demo that we presented at the ICPM conference. We showcased three different scenarios:

1. Visualizing conformance data that are generated by a process mining technique called conformance checking.
2. Visualizing violations of compliance rules.
3. Visualizing the happy path that corresponds to the most frequent path executed in the process.

Getting started tutorial

We have published a step-by-step introduction to using the bpmn-visualization library in a Getting Started tutorial. For this, we prepared an online monitoring scenario and proposed to visualize data related to:

• The running instances and their number ⚙️.
• The status of the running instances: whether or not they violate the predefined Key Performance Indicators (KPI) ⏱️.

Plans for the future

Here are some of the topics we will be covering in the coming months:

• We are working on the R package. Some related news is coming soon.
• We are working on supporting additional BPMN elements.
• And most importantly, this is the time of the year we are working on our roadmap for next year 🛣️ ! External feedback is more than welcome! If you have any novel, creative, or crazy ideas 💥 for process analytics visualization, feel free to contact us 👋 using our social channels linked below 👇.

That’s all folks!

We hope you enjoyed this October project news and are looking forward to what the rest of the fall will bring** **👋.

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

• Website: https://process-analytics.dev
• Twitter: @ProcessAnalyti1
• GitHub: https://github.com/process-analytics
• Discord: Join our server!

Cover photo by Andy Holmes on Unsplash