sberpm 3.4.0

Library that is intended to operate with various process mining tasks.

Documentation | Installation | Quick start

SberProcessMining (SberPM) – Process Mining Python framework

SberPM 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.

Authors: Sber Process Mining Team.

Installation

To install SberPM framework on your machine from PyPI:

pip install sberpm

To install from sources:

git clone https://github.com/SberProcessMining/Sber_Process_Mining.git

cd Sber_Process_Mining
pip install .

Additionally, you have to install graphviz executables and add the path to the executables to 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 sberpm import 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 sberpm.autoinsights import AutoInsights

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

License

This project is released under the MIT License.