bupaR vs BusinessOptix Process Mining
bupaR
bupar.netBusinessOptix Process Mining
businessoptix.comSide by side
| Figure | bupaR | BusinessOptix Process Mining |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| API | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Process Mining Software | 8.5 (#1) | 7.3 (#18) |
| Headquarters | Hasselt, Belgium | Kansas City, Missouri, United States |
| Intended users | The site includes testimonials from a data scientist, a chief data scientist and a process architect describing uses in analytics, process optimisation and healthcare datasets. | The company identifies analysts, transformation leaders, and compliance officers among the users its tools empower. |
| Support | For usage questions, the docs direct users to the bupar-tagged Stack Overflow or [email protected]; package bugs should be reported in the relevant GitHub repository. | Customers and partners can submit support tickets, use the knowledge base, or enroll in BusinessOptix Academy training courses. |
Plans
In their own words
bupaR
bupaR is a free, open-source suite of R packages for working with business process data. It supports importing and preparing event data, calculating descriptive statistics, visualising processes, and checking conformance. Analysts can examine control flow, performance, and organisational aspects, while including custom process attributes in their workflow. It handles event logs, where each row represents an event, and activity logs, where each row represents an activity instance. Process maps help summarise processes and can be used in Shiny apps or exported to PDF, PNG, PS, or EPS. The bupaverse core contains bupaR, edeaR, eventdataR, processcheckR, and processmapR. The xesreadR package reads XES files from a local path or URL and writes event logs to XES. Installation instructions cover CRAN and GitHub development versions. The package requires R 3.5.0 or later and is licensed under MIT plus a license file. For prediction with processpredictR, Python, TensorFlow, and Keras are required. Validation of larger event logs can take time, though the documentation allows it to be disabled when the data meets requirements.
BusinessOptix Process Mining
BusinessOptix Process Mining has no write-up on Specifiction yet; its figures are above.