Fluxicon Disco vs PM4Py
Fluxicon Disco
fluxicon.com
PM4Py
processintelligence.solutionsSide by side
| Figure | Fluxicon Disco | PM4Py |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Plans published | 1 | 2 |
| Spec score · Process Mining Software | 7.8 (#11) | 7.8 (#13) |
| Audience | Fluxicon describes Disco as a tool designed for process improvement professionals and says consultants can use its tools for process discovery. | The maker describes PM4Py as built for developers, data scientists, and researchers. |
| Evaluation | Fluxicon says it can provide a free evaluation license for a limited time to import data sets larger than the demo limit. | The maker says commercial evaluation without open-sourcing code is available by requesting a specific evaluation license. |
| Support | Fluxicon says customers have direct access to developers for support. | The commercial version includes dedicated professional support; the community version lists no support. |
Plans
In their own words
Fluxicon Disco
Fluxicon Disco 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.