Skip to main content

A SciKit for process oriented data science

Project description

podspy: A SciKit for process oriented data science

pypi travis readthedocs pyup


Basic functionalities for doing process mining using Python, e.g., importing an event log, and creating a petri net.


Recently, a much grander effort has been put to create a python package for process mining - pm4py, check it out!!


  • Log processing and manipulation of event logs in XES format
  • Petri nets (system nets, inhibitor and reset nets) and visualization


pip install podspy

Project details

Download files

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

Files for podspy, version 0.1.6
Filename, size File type Python version Upload date Hashes
Filename, size podspy-0.1.6.tar.gz (3.4 MB) File type Source Python version None Upload date Hashes View
Filename, size podspy-0.1.6-py2.py3-none-any.whl (53.7 kB) File type Wheel Python version py2.py3 Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page