PM4Js is a library for process mining in Javascript. The execution is supported in modern browsers (Chrome, ...) and Node.JS

Include the script dist/pm4js_latest.js in your web page to use the functionalities of PM4Js.

Install pm4js by doing npm install -g pm4js. Then, PM4Js can be used in Node by doing: require('pm4js').

Clone the Git project, and install the required packages by doing npm install. Then, PM4Js can be used in Node by doing: require('./init.js').

Extensive documentation is available here. Some examples are included in the examples/html folder (HTML pages) and examples/node folder (Node.JS examples).

The library currently offers the following set of features:

• Objects
  • Working with Event Logs
    • Importing XES logs
    • Importing CSV logs
    • Exporting XES logs
    • Exporting CSV logs
    • Conversion to Event Stream
  • Petri Nets
    • Data Structure
    • Creation of a Petri net
    • Execution Semantics
    • Importing Exporting
    • Visualization (vanilla Graphviz)
  • Process Trees
    • Data Structure
    • Importing
    • Exporting
    • Visualization (vanilla Graphviz)
    • Conversion to an accepting Petri net
  • Directly-Follows Graphs
    • Frequency DFG
    • Performance DFG
    • Importing a Frequency DFG
    • Exporting a Frequency DFG
    • DFG capacity maximization
  • BPMN
    • BPMN objects
    • Importing BPMN
    • Exporting BPMN
    • Converting a BPMN to an accepting Petri net
    • Converting an accepting Petri net to BPMN
  • OCEL
    • Supported Formats
    • Importing OCEL
    • Exporting OCEL
    • Flattening OCEL
    • Statistics on OCEL
  • Business Hours configuration
• Algorithms
  • Process Discovery
    • Inductive Miner
    • Inductive Miner Directly Follows
    • Log Skeleton
    • Directly Follows Graphs
    • Temporal Profile Discovery
  • Conformance Checking
    • Token-Based Replay
    • Alignments on Petri nets
    • Alignments on Directly Follows Graphs
    • Conformance Checking using the Log Skeleton
    • Temporal Profile Conformance Checking
  • Evaluation
    • Replay Fitness of Petri nets
    • ETConformance precision of Petri nets
    • Generalization of Petri nets
    • Simplicity of Petri nets
  • Filtering
    • Filtering Event Logs
    • Sliding Directly Follows Graphs
  • Simulation
    • Playout of a DFG
  • Feature Extraction
    • Feature Extraction on Event Logs
    • Object Based Feature Extraction on Object Centric Event Logs
    • Event Based Feature Extraction on Object Centric Event Logs
  • Interval Analysis
  • Network Analysis
    • Link Analysis on Event Logs
    • Network Analysis Algorithm
• Statistics
  • Log
    • General Statistics
• Support for Celonis
  • Celonis Connector
  • Traditional Celonis Wrapper
  • Object Centric Celonis Wrapper

Support is provided by mail at the following mail address: Alessandro Berti.