Technology originated at
PIS — Process Intelligence Solutions
Founded as a spin-off from Fraunhofer FIT, PIS specializes in developing cutting-edge process mining software solutions, including PM4Py and PMTk. By leveraging advanced data analysis and process mining technologies, PIS empowers organizations to optimize their processes, drive efficiency at every level, and achieve operational excellence.
PMTk
— the Process Mining Toolkit
Our all-in-one software solution for the exploration of processes and event logs. PMTK implements state-of-the-art process mining algorithms in a user-friendly way.
on-premises & cloud licensing options | free academic licenses | SQL support | BPMN support | powered by PM4Py | conformance checking | process discovery beyond DFGs | extensive data filtering options | many more ...
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Process Map
Visual exploration and interaction with the Directly Follows Graph (DFG), indicating the order relationships between activities
Variant Explorer
Analyzing process variants is a crucial step in most process mining projects, helping to understand the level of structure in a process
Performance View
Enables the intuitive and visual identification of bottlenecks and performance deficiencies within a process
Dotted Chart
Powerful for finding event patterns such as batching in your process
Calendar View
Temporal event frequency distribution allows to identify patterns in which activities are frequently carried out within the process
Throughput Analysis
Identify and analyze the main bottlenecks in the process and discover slow cases interactively
Temporal Development
Visualizing the temporal progression of your processes allows you to zoom in and filter to examine interesting periods
PM4Py
— Process Mining for Python
Designed to be used in both academia and industry, PM4Py is the leading open-source process mining library written in Python.
open-source & closed-source licensing options | state-of-the-art algorithms | process discovery | conformance checking | predictive process mining | organizational mining | clustering techniques | object-centric process mining | many more ...
explore PM4PyA brief preview of the simple application of PM4Py
