Celonis Process Mining Platform vs PM4Py

Celonis Process Mining Platform helps companies examine end-to-end processes and identify opportunities for improvement. It combines process mining, AI, and process improvement knowledge while layering over existing systems, so organizations can analyze, improve, and monitor processes without replacing those systems. The Celonis Context Model creates a real-time digital twin of operations using process data, business knowledge, and intelligence. It supports root-cause analysis, predictions, recommendations, and scenario simulations. Data Core offers more than 100 prebuilt extractors for on-premises and cloud ERPs, CRMs, data warehouses, and other sources. The platform also connects with systems of record, data, AI and automation platforms, business apps, and custom apps. Celonis Marketplace offers prepackaged apps and solutions, and its Developer Center documents Process Intelligence APIs. The cloud platform supports web, Windows, and API access, with conformance checking, process monitoring, scheduled data refresh, task clustering, and automation opportunity identification. A free plan is listed; paid pricing is available on request and depends on the nature and scale of process mining needs.

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.