13 projects
pix-framework
Process Improvement Explorer Framework contains process discovery and improvement modules of the Process Improvement Explorer project.
simod
Simod is a Python tool for automated discovery of business process simulation models from event logs.
ongoing-process-state
Build the n-gram index of a BPMN/Petri net process model to compute the state of an ongoing case in constant time.
log-distance-measures
Python package with the implementation of different distance measures between two event logs, from the control-flow, temporal, and queuing perspectives.
extraneous-activity-delays
None
prosimos
None
batch-processing-discovery
Python algorithm to discover, from an event log, activity instances that are executed in a batch.
openxes-cli-py
prioritization-discovery
Python algorithm to discover, from an event log, prioritization rules that lead to one activity instance to be executed before another.
case-attribute-discovery
start-time-estimator
Python package to estimate the enabled time, enabling activity, and resource availability time of each activity instance in an event log.
optimos
Optimos is a resource allocation optimization engine for business processes with differentiated resources. Part of PIX toolset
pm4py-wrapper
pm4py wrapper to call the original package from CLI
