FlowMine – Process Mining Python framework

FlowMine is an open-source Python library for conducting a comprehensive analysis of business processes with the use of process mining and machine learning techniques. By implementing this tool, objective and deep insights into the process on all levels can be revealed. These insights are then used to detect problems such as bottlenecks and deviations and identify potential opportunities for process improvement and optimization.

Installation

To install FlowMine from PyPI:

pip install flowmine

To install from sources:

pip install .

Additionally, you have to install graphviz executables and add the path to the executables to your PATH variable: https://graphviz.org/download/

Quick start

There are some steps for quick start for your process log analysis:

• Create a DataHolder object:

from flowmine import DataHolder, SuccessInputs, DurationUnits

path = "example_data.xlsx"
data_holder = DataHolder(
    data=path,
    col_case="id",
    col_stage="action",
    col_start_time="start_time",
    col_end_time="end_time",
    col_user="user_id",
    col_text="text",
    success_inputs=SuccessInputs(entries={"Подписание документов ", "Принято"}),
)

data_holder.data.head()

• Apply AutoInsights:

from flowmine.autoinsights import AutoInsights

auto_insights = AutoInsights(data_holder, successful_stage="Принято")
auto_insights.apply()

License

This project is released under the MIT License.