I found a cool tool today to measure code: metrics. It measures SLOC, comments and cyclomatic complexity. It's easy to install: pip install pygments metrics
Run this in your project's root:
metrics -v `find . -type f \( -iname "*.css" -or -iname "*.py" -or -iname "*.js" -or -iname "*.html" -or -iname "*.txt" \) \! -path "*/migrations/*.py" -print`
I have a django project so I added \! -path "*/migrations/*.py" to skip any files that are in a migrations dir (I'd skip the automatically generated south migrations).
You probably bundle other libraries or apps in your source tree (eg: jquery or that nice django app the author didn't bother to make a setup.py script for) so you want to measure only some specific paths. Eg, to collect stats only for files in src/foobar, lib/tools and src/otherbar:
metrics -v `find src/foobar lib/tools src/otherbar -type f \( -iname "*.css" -or -iname "*.py" -or -iname "*.js" -or -iname "*.html" -or -iname "*.txt" \) \! -path "*/migrations/*.py" -print`
If you work on multiple projects you can make a script or alias for this:
metrics -v `find \`cat METRICS\` -type f \( -iname "*.css" -or -iname "*.py" -or -iname "*.js" -or -iname "*.html" -or -iname "*.txt" \) \! -path "*/migrations/*.py" -print`
And in each project just save a METRICS file with the list of paths.
I get something like this for one random project:
Metrics Summary:
Files Language SLOC Comment McCabe
----- ------------------------------ ----------- ------- ------
129 Python 4831 289 261
2 Text only 0 0 0
49 HTML+Django/Jinja 1381 19 166
7 JavaScript 2204 231 352
21 CSS 1839 111 0
----- ------------------------------ ----------- ------- ------
208 Total 10255 650 779
Do McCabe (aka cyclomatic complexity) ratios (McCabe/(SLOC-Comment)) look odd? (0.17 for javascript and and 0.05 for python).
Do you know other measurement tools adequate for Django projects? Do tell me and, if possible, how to run it for specific files like above (I'm lazy :)