pm4js v0.0.38

pm4js-core

Process Mining for Javascript - Core Package

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

Install

Browser

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

Node (package)

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

Node (local installation)

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').

Documentation

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

Features

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

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