pmkoalas: A Process Mining Project

pmkoalas provides data structures for process mining research in a well-organized pythonic style.

Current Features

• Event log structures
  • Importing and exporting of logs to XES formatted XML
  • Several views/types of log
    • Simplified logs
      • This type only considers sequences of process activities, and nothing else.
    • Complex logs
      • This type considers sequences of events. Where an event is a mapping of data. This log type can always be reduced to the simplified type.
  • Generating logs quickly using delimited strings
    • currently only supports simplified logs
• Process model structures
  • Petri nets
    • exporting to pnml
    • creating dot files for a net
    • generation of a net using fragments of desirable behaviour
• Process discovery techniques
  • Generating a directly follows language from a log
  • The Alpha miner (original variant)

Development Information

To install dependencies:

py -m pip install -e .[dev]

Testing

To run tests:

py -m unittest

The values of the team

Postel's law

"Be liberal in what you accept, and conservative in what you send"

https://en.wikipedia.org/wiki/Jon_Postel

Branches off main are meant to be either merged in a timely manner, or show off a potential feature, or should be removed/released back into the wild.

Features need a use case or a user before they can be explored in detail.

It is better to delete code that is not used, than to keep it around. You have written it once, you will write it better the next time. Don't be afraid to let it go.

Politely ask for more resources

While many optimisations can be done when asking for more threads and resources of the user's system, such optimisations should always be turned off by default.