Radon is a tool for Python that computes various metrics from the source code. Radon does not only compute McCabe's complexity, but also:
- raw metrics (these include SLOC, comment lines, blank lines, &c.)
- Halstead metrics (all of them)
- Maintainability Index (the one used in Visual Studio)
Radon can be used either from the command line or programmatically. Documentation is WIP at https://radon.readthedocs.org/.
Quick example:
$ radon cc -anc ../baker/baker.py
../baker/baker.py
M 581:4 Baker.parse_args - D
M 723:4 Baker.parse - D
M 223:4 Baker.command - C
M 796:4 Baker.apply - C
M 857:4 Baker.run - C
32 blocks (classes, functions, methods) analyzed.
Average complexity: B (6.15625)
Actually it's even better: it's got colors!
Command's help:
$ radon cc -h
Usage: /home/miki/exp/bin/radon cc [<min>] [<max>] [<show_complexity>] [<average>] [<paths>...]
Analyze the given Python modules and compute Cyclomatic Complexity (CC).
The output can be filtered using the *min* and *max* flags. In addition
to y default, complexity score is not displayed.
Options:
-x --max The maximum complexity to display (default to F).
-a --average If True, at the end of the analysis display the
average complexity. Default to False.
-s --show_complexity Whether or not to show the actual complexity score
together with the A-F rank. Default to False.
-n --min The minimum complexity to display (default to A).
Variable arguments:
*paths The modules or packages to analyze.