Skip to main content

A process mining library that focuses on providing pythonic interactions with event logs and languages.

Project description

pmkoalas: A Process Mining Project

Python 3.[9,10,11] Testing

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pmkoalas-0.3.1.tar.gz (64.1 kB view details)

Uploaded Source

Built Distribution

pmkoalas-0.3.1-py3-none-any.whl (68.2 kB view details)

Uploaded Python 3

File details

Details for the file pmkoalas-0.3.1.tar.gz.

File metadata

  • Download URL: pmkoalas-0.3.1.tar.gz
  • Upload date:
  • Size: 64.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for pmkoalas-0.3.1.tar.gz
Algorithm Hash digest
SHA256 7cf3bd4c5a8481fbbc8a8110e079fe0d5e9687e88ca16556094f357b8d6deb09
MD5 8cc1546723974157be221d4d17be1e0b
BLAKE2b-256 d1bdc391db350374e41191d4618ed4242f3a580a3e2deffc42fa0fe5b01be2a6

See more details on using hashes here.

File details

Details for the file pmkoalas-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: pmkoalas-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 68.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for pmkoalas-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d38d1363ca2af48103d9219350b007a0bbc29d438d1d74adf7615a5df335ca1d
MD5 78d7788afb5e7ec35e1dcb658f7f948e
BLAKE2b-256 d418cc0bac24769d6f57b37aca63eba89f69b98ddc8ad5fd1d2931405384eccc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page