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        "author": "Wai Lam Jonathan Lee",
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        "description": "podspy: A SciKit for process oriented data science\n===\n\n[![pypi](https://img.shields.io/pypi/v/podspy.svg)](https://pypi.python.org/pypi/podspy)\n[![travis](https://img.shields.io/travis/wailamjonathanlee/podspy.svg)](https://travis-ci.org/wailamjonathanlee/podspy)\n[![readthedocs](https://readthedocs.org/projects/podspy/badge/?version=latest)](http://podspy.readthedocs.io/en/latest/?badge=latest)\n[![pyup](https://pyup.io/repos/github/wailamjonathanlee/podspy/shield.svg)](https://pyup.io/repos/github/wailamjonathanlee/podspy/)\n\nDescription\n---\nBasic functionalities for doing process mining using Python, e.g., importing an event log, and creating a petri net.\n\nNotes\n---\nRecently, a much grander effort has been put to create a python package for process mining - [pm4py](http://pm4py.org/), check it out!!\n\nFeatures\n---\n- Log processing and manipulation of event logs in XES format\n- Petri nets (system nets, inhibitor and reset nets) and visualization\n\nInstallation\n---\n```\npip install podspy\n```\n\n\n",
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