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$ show process-intelligence-solutions/pm4py

[account ↗] [repo ↗] APPLICATION ★ 1027 357 ● maintained (last update 1 month ago)
reviewed by: meta-llama/llama-4-scout

The pm4py repository is a process mining library for Python, providing various algorithms for process discovery, conformance checking, and enhancement. It supports multiple process mining techniques, including inductive mining, alpha miner, and heuristics miner. The library is well-structured, with a clear organization and documentation. However, the large number of modules and algorithms might pose maintenance challenges.

RATING8.1/10
QUALITY8.0/10
MAINTENANCEmaintained
DRIFTlow
CONTRIBUTORS78
VELOCITY0.99
OPEN ISSUES0
CLOSED ISSUES404
LAST COMMIT1 month ago
cvxopt (pip)
graphviz (pip)
lxml (pip)
matplotlib (pip)
networkx (pip)
numpy (pip)
pandas (pip)
pytz (pip)
scipy (pip)
tqdm (pip)
Files by Type (count)
Python
1977
Other (.xes)
88
Other (no ext)
65
Other (.gz)
46
Other (.ptml)
45
Other (.pnml)
23
CSV
16
Other (.LICENSE)
15
Other (.1)
10
Other (.bpmn)
10
Markdown
9
Text
9
Files by Type (size)
Other (.gz)
24MB
Other (.xes)
11MB
Python
8MB
CSV
7MB
Jupyter Notebook
3MB
Other (.parquet)
3MB
Other (.zip)
2MB
Other (.sqlite)
1MB
Other (.jsonocel)
988KB
Other (.png)
563KB
Other (.ptml)
558KB
Other (.bpmn)
387KB

The LLM identified 2 files worth highlighting for reuse:

This module provides the Inductive Miner algorithm for process discovery, which is a popular technique for discovering process models from event logs.

file: pm4py/algo/discovery/inductive/algorithm.py ↗ | tags: #inductive-mining #process-discovery

This module provides an algorithm for computing alignments between event logs and process models, which is essential for conformance checking and performance analysis.

file: pm4py/algo/alignments/process_tree/algorithm.py ↗ | tags: #alignments #process-tree
Last analyzed: 2026-09-17 07:21:47.752010
Next check: 2026-10-17 07:21:47.452666
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