pymwp: MWP analysis in Python
pymwp is a tool for automatically performing static analysis on programs written in C, inspired by "A Flow Calculus of mwpBounds for Complexity Analysis". It analyzes resource usage and determines if a program's variables growth rates are no more than polynomially related to their inputs sizes. You can run our many examples online in our demo before installing it, or consult our list of supported C language features.
Documentation and Demo
Refer to statycc.github.io/pymwp for a documentation of our modules, an online demo as well as a presentation of our examples.
Installation
Install latest release from PyPI
pip install pymwp
How to Use
To analyze a C file, run:
pymwp path/to_some_file.c
For all available options and help, run:
pymwp
You can also use pymwp in a Python script:
from pymwp import Polynomial
from pymwp.matrix import identity_matrix, show
matrix = identity_matrix(3)
matrix[0][1] = Polynomial('m')
matrix[1][0] = Polynomial('w')
matrix[2][1] = Polynomial('p')
show(matrix)
See documentation for available modules and methods.
Running from source
If you want to use the latest stable version (possibly ahead of latest release), use the version from source following these steps.

Clone the repository
git clone https://github.com/statycc/pymwp.git

Set up Python environment
install required packages
pip install q r requirements.txt

Run the analysis
From project root run:
python m pymwp path/to_some_file.c
for example:
python m pymwp c_files/basics/if.c
for all available options and help, run:
python m pymwp