PM4Py vs Process.Science

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.

Process.Science provides AI-enhanced process mining that turns operational data into analysis and improvement opportunities, with integrations for business intelligence tools including Microsoft Power BI, Qlik Sense, and Tableau. Its Power BI solution displays ERP events in interactive process charts, tracks KPIs and PPIs, compares activity with target processes, and supports process-change simulations. Users can explore process variants from an overview down to individual cases and check BPMN conformance. Dashboards can trigger Power Automate flows when critical thresholds are crossed.

Templates cover Purchase-to-Pay, Order-to-Cash, and ITSM, and customers’ BI developers can extend them. Source connections include OData, REST, and direct SQL; named data sources include SAP, Dynamics, Snowflake, Exasol, Oracle, Microsoft SQL Server, and Amazon Redshift. Deployment options include on-premises and major cloud services. The company says its on-premises Power BI option keeps data within the customer’s company. The Power BI page offers a free visual and test drive through Microsoft AppSource, while paid AppSource and Enterprise versions have no listed prices. A 30-day proof of concept includes five concurrent-user licenses and 16 hours of expert support and workshops.