iGrafx Process360 Live vs PM4Py
iGrafx Process360 Live
igrafx.com
PM4Py
processintelligence.solutionsSide by side
| Figure | iGrafx Process360 Live | PM4Py |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 2 |
| Spec score · Process Mining Software | 7.8 (#12) | 7.8 (#13) |
| Audience | The documentation hub identifies business users, administrators, and analysts as audiences for Process360 Live documentation. | The maker describes PM4Py as built for developers, data scientists, and researchers. |
| Support | Customers can submit support requests, bug reports, and feature requests through Service Desk ECHO; product download links are provided by submitting a support ticket. | The commercial version includes dedicated professional support; the community version lists no support. |
Plans
In their own words
iGrafx Process360 Live
iGrafx Process360 Live has no write-up on Specifiction yet; its figures are above.
PM4Py
PM4Py is a Python library for developers who want to run process mining algorithms in their own code. From event data, it can produce directly-follows graphs, Petri nets, BPMN models, and process trees. It also compares observed behavior with process models using replay and alignment-based measures. Its object-centric analysis handles event logs where events link multiple object types, such as orders, items, and deliveries. PM4Py imports and exports event logs and supports XES and OCEL 1.0 and 2.0. It can extract machine-learning features for use with pandas and scikit-learn. The free Community Version is under AGPL v3; covered work using PM4Py must be published under AGPL when distributed or made available over a network. A commercial license permits closed-source use, with pricing available by quote. Commercial evaluation without publishing code is available by requesting an evaluation license. PM4Py runs on Windows, Linux, and macOS, and pip is the recommended installation method. Graphviz must be installed and configured for visualization features.