pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods.

Offline call graph generator for Python 3. Pyan takes one or more Python source files, performs a (rather superficial) static analysis, and constructs a directed graph of the objects in the combined source, and how they define or use each other. The graph can be output for rendering by GraphViz or yEd. This project has 2 official repositories:

Usage: pyan.py FILENAME... [--dot|--tgf] Analyse one or more Python source files and generate an approximate call graph of the modules, classes and functions within them.

2021年2月11日 · Pyan takes one or more Python source files, performs a (rather superficial) static analysis, and constructs a directed graph of the objects in the combined source, and how they define or use each other.

2018年6月9日 · As of today, pyan3 is on PyPI, so it can be installed via pip install pyan3. It installs a pyan3 script to easily call it from the terminal.

Pyan takes one or more Python source files, performs a (rather superficial) static analysis, and constructs a directed graph of the objects in the combined source, and how they define or use each other. The graph can be output for rendering by GraphViz or …

Offline call graph generator for Python 3. Pyan takes one or more Python source files, performs a (rather superficial) static analysis, and constructs a directed graph of the objects in the combined source, and how they define or use each other. The graph can be output for rendering by GraphViz or yEd. This project has 2 official repositories:

2022年10月18日 · Offline call graph generator for Python 3. Generate approximate call graphs for Python programs. Pyan takes one or more Python source files, performs a (rather superficial) static analysis, and constructs a directed graph of the objects in the combined source, and how they define or use each other.

2020年11月27日 · A call graph generated for a small Flask web-app using pyan and Graphviz. Not all of the dependencies are captured perfectly, but it’s 95% there and very readable.

We propose a pragmatic, static approach for call graph generation in Python. We compute all assignment relations between program identifiers of functions, variables, classes, and modules through an inter-procedural analysis.